Chemicals and DrugsAnalytical, Diagnostic and Therapeutic Techniques and EquipmentPsychiatry and PsychologyPhenomena and ProcessesDisciplines and OccupationsAnthropology, Education, Sociology and Social PhenomenaTechnology, Industry, AgricultureInformation ScienceHealth Care
Computational BiologyAlgorithmsSystems BiologySociologySoftwarePhysiological PhenomenaSequence Analysis, ProteinComputer SimulationProteinsGenomicsProgramming LanguagesBiologyArtificial IntelligenceDatabases, FactualSequence AlignmentSystems IntegrationModels, BiologicalPattern Recognition, AutomatedMarkov ChainsDatabases, ProteinInternetUser-Computer InterfaceProtein Interaction MappingSequence Analysis, DNAComputer GraphicsModels, StatisticalCluster AnalysisInformation Storage and RetrievalDatabases, GeneticGene Regulatory NetworksGene Expression ProfilingModels, GeneticModels, MolecularProteomeBayes TheoremMolecular BiologyDevelopmental BiologyModels, TheoreticalOligonucleotide Array Sequence AnalysisPhylogenyMolecular Sequence DataAmino Acid SequenceGenome, HumanSynthetic BiologyProtein ConformationEvolution, MolecularProtein FoldingReproducibility of ResultsSignal TransductionProtein Structure, TertiaryTranscription FactorsBinding Sites
Computational Biology
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
Algorithms
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Systems Biology
Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems.
Sociology
A social science dealing with group relationships, patterns of collective behavior, and social organization.
Software
Sequential operating programs and data which instruct the functioning of a digital computer.
Physiological Phenomena
The functions and properties of living organisms, including both the physical and chemical factors and processes, supporting life in single- or multi-cell organisms from their origin through the progression of life.
Sequence Analysis, Protein
A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.
Computer Simulation
Computer-based representation of physical systems and phenomena such as chemical processes.
Proteins
Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.
Genomics
The systematic study of the complete DNA sequences (GENOME) of organisms.
Programming Languages
Specific languages used to prepare computer programs.
Biology
One of the BIOLOGICAL SCIENCE DISCIPLINES concerned with the origin, structure, development, growth, function, genetics, and reproduction of animals, plants, and microorganisms.
Artificial Intelligence
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
Databases, Factual
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
Sequence Alignment
The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.
Systems Integration
The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
Models, Biological
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Pattern Recognition, Automated
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
Markov Chains
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.
Databases, Protein
Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.
Internet
A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.
User-Computer Interface
The portion of an interactive computer program that issues messages to and receives commands from a user.
Protein Interaction Mapping
Methods for determining interaction between PROTEINS.
Sequence Analysis, DNA
A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.
Computer Graphics
The process of pictorial communication, between human and computers, in which the computer input and output have the form of charts, drawings, or other appropriate pictorial representation.
Models, Statistical
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Cluster Analysis
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
Information Storage and Retrieval
Organized activities related to the storage, location, search, and retrieval of information.
Databases, Genetic
Databases devoted to knowledge about specific genes and gene products.
Gene Regulatory Networks
Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.
Gene Expression Profiling
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
Models, Genetic
Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
Models, Molecular
Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.
Proteome
The protein complement of an organism coded for by its genome.
Bayes Theorem
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
Molecular Biology
A discipline concerned with studying biological phenomena in terms of the chemical and physical interactions of molecules.
Developmental Biology
The field of biology which deals with the process of the growth and differentiation of an organism.
Models, Theoretical
Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
Oligonucleotide Array Sequence Analysis
Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.
Phylogeny
The relationships of groups of organisms as reflected by their genetic makeup.
Molecular Sequence Data
Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.
Amino Acid Sequence
The order of amino acids as they occur in a polypeptide chain. This is referred to as the primary structure of proteins. It is of fundamental importance in determining PROTEIN CONFORMATION.
Genome, Human
The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs.
Synthetic Biology
A field of biological research combining engineering in the formulation, design, and building (synthesis) of novel biological structures, functions, and systems.
Protein Conformation
The characteristic 3-dimensional shape of a protein, including the secondary, supersecondary (motifs), tertiary (domains) and quaternary structure of the peptide chain. PROTEIN STRUCTURE, QUATERNARY describes the conformation assumed by multimeric proteins (aggregates of more than one polypeptide chain).
Evolution, Molecular
The process of cumulative change at the level of DNA; RNA; and PROTEINS, over successive generations.
Protein Folding
Processes involved in the formation of TERTIARY PROTEIN STRUCTURE.
Reproducibility of Results
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Signal Transduction
The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway.
Protein Structure, Tertiary
The level of protein structure in which combinations of secondary protein structures (alpha helices, beta sheets, loop regions, and motifs) pack together to form folded shapes called domains. Disulfide bridges between cysteines in two different parts of the polypeptide chain along with other interactions between the chains play a role in the formation and stabilization of tertiary structure. Small proteins usually consist of only one domain but larger proteins may contain a number of domains connected by segments of polypeptide chain which lack regular secondary structure.
Transcription Factors
Endogenous substances, usually proteins, which are effective in the initiation, stimulation, or termination of the genetic transcription process.
Binding Sites
The parts of a macromolecule that directly participate in its specific combination with another molecule.

Ringo, Doty, Demeter and Simard, Cerebral Cortex 1994;4:331-343: a proof of the need for the spatial clustering of interneuronal connections to enhance cortical computation. (1/20328)

It has been argued that an important principle driving the organization of the cerebral cortex towards local processing has been the need to decrease time lost to interneuronal conduction delay. In this paper, I show for a simplified model of the cerebral cortex, using analytical means, that if interneuronal conduction time increases proportional to interneuronal distance, then the only way to increase the numbers of synaptic events occurring in a fixed finite time period is to spatially cluster interneuronal connections.  (+info)

The Genexpress IMAGE knowledge base of the human brain transcriptome: a prototype integrated resource for functional and computational genomics. (2/20328)

Expression profiles of 5058 human gene transcripts represented by an array of 7451 clones from the first IMAGE Consortium cDNA library from infant brain have been collected by semiquantitative hybridization of the array with complex probes derived by reverse transcription of mRNA from brain and five other human tissues. Twenty-one percent of the clones corresponded to transcripts that could be classified in general categories of low, moderate, or high abundance. These expression profiles were integrated with cDNA clone and sequence clustering and gene mapping information from an upgraded version of the Genexpress Index. For seven gene transcripts found to be transcribed preferentially or specifically in brain, the expression profiles were confirmed by Northern blot analyses of mRNA from eight adult and four fetal tissues, and 15 distinct regions of brain. In four instances, further documentation of the sites of expression was obtained by in situ hybridization of rat-brain tissue sections. A systematic effort was undertaken to further integrate available cytogenetic, genetic, physical, and genic map informations through radiation-hybrid mapping to provide a unique validated map location for each of these genes in relation to the disease map. The resulting Genexpress IMAGE Knowledge Base is illustrated by five examples presented in the printed article with additional data available on a dedicated Web site at the address http://idefix.upr420.vjf.cnrs.fr/EXPR++ +/ welcome.html.  (+info)

Genome-wide bioinformatic and molecular analysis of introns in Saccharomyces cerevisiae. (3/20328)

Introns have typically been discovered in an ad hoc fashion: introns are found as a gene is characterized for other reasons. As complete eukaryotic genome sequences become available, better methods for predicting RNA processing signals in raw sequence will be necessary in order to discover genes and predict their expression. Here we present a catalog of 228 yeast introns, arrived at through a combination of bioinformatic and molecular analysis. Introns annotated in the Saccharomyces Genome Database (SGD) were evaluated, questionable introns were removed after failing a test for splicing in vivo, and known introns absent from the SGD annotation were added. A novel branchpoint sequence, AAUUAAC, was identified within an annotated intron that lacks a six-of-seven match to the highly conserved branchpoint consensus UACUAAC. Analysis of the database corroborates many conclusions about pre-mRNA substrate requirements for splicing derived from experimental studies, but indicates that splicing in yeast may not be as rigidly determined by splice-site conservation as had previously been thought. Using this database and a molecular technique that directly displays the lariat intron products of spliced transcripts (intron display), we suggest that the current set of 228 introns is still not complete, and that additional intron-containing genes remain to be discovered in yeast. The database can be accessed at http://www.cse.ucsc.edu/research/compbi o/yeast_introns.html.  (+info)

Bayesian inference on biopolymer models. (4/20328)

MOTIVATION: Most existing bioinformatics methods are limited to making point estimates of one variable, e.g. the optimal alignment, with fixed input values for all other variables, e.g. gap penalties and scoring matrices. While the requirement to specify parameters remains one of the more vexing issues in bioinformatics, it is a reflection of a larger issue: the need to broaden the view on statistical inference in bioinformatics. RESULTS: The assignment of probabilities for all possible values of all unknown variables in a problem in the form of a posterior distribution is the goal of Bayesian inference. Here we show how this goal can be achieved for most bioinformatics methods that use dynamic programming. Specifically, a tutorial style description of a Bayesian inference procedure for segmentation of a sequence based on the heterogeneity in its composition is given. In addition, full Bayesian inference algorithms for sequence alignment are described. AVAILABILITY: Software and a set of transparencies for a tutorial describing these ideas are available at http://www.wadsworth.org/res&res/bioinfo/  (+info)

DNA sequence chromatogram browsing using JAVA and CORBA. (5/20328)

DNA sequence chromatograms (traces) are the primary data source for all large-scale genomic and expressed sequence tags (ESTs) sequencing projects. Access to the sequencing trace assists many later analyses, for example contig assembly and polymorphism detection, but obtaining and using traces is problematic. Traces are not collected and published centrally, they are much larger than the base calls derived from them, and viewing them requires the interactivity of a local graphical client with local data. To provide efficient global access to DNA traces, we developed a client/server system based on flexible Java components integrated into other applications including an applet for use in a WWW browser and a stand-alone trace viewer. Client/server interaction is facilitated by CORBA middleware which provides a well-defined interface, a naming service, and location independence. [The software is packaged as a Jar file available from the following URL: http://www.ebi.ac.uk/jparsons. Links to working examples of the trace viewers can be found at http://corba.ebi.ac.uk/EST. All the Washington University mouse EST traces are available for browsing at the same URL.]  (+info)

Detecting selective expression of genes and proteins. (6/20328)

Selective expression of a gene product (mRNA or protein) is a pattern in which the expression is markedly high, or markedly low, in one particular tissue compared with its level in other tissues or sources. We present a computational method for the identification of such patterns. The method combines assessments of the reliability of expression quantitation with a statistical test of expression distribution patterns. The method is applicable to small studies or to data mining of abundance data from expression databases, whether mRNA or protein. Though the method was developed originally for gene-expression analyses, the computational method is, in fact, rather general. It is well suited for the identification of exceptional values in many sorts of intensity data, even noisy data, for which assessments of confidences in the sources of the intensities are available. Moreover, the method is indifferent as to whether the intensities are experimentally or computationally derived. We show details of the general method and examples of computational results on gene abundance data.  (+info)

Protein subcellular location prediction. (7/20328)

The function of a protein is closely correlated with its subcellular location. With the rapid increase in new protein sequences entering into data banks, we are confronted with a challenge: is it possible to utilize a bioinformatic approach to help expedite the determination of protein subcellular locations? To explore this problem, proteins were classified, according to their subcellular locations, into the following 12 groups: (1) chloroplast, (2) cytoplasm, (3) cytoskeleton, (4) endoplasmic reticulum, (5) extracell, (6) Golgi apparatus, (7) lysosome, (8) mitochondria, (9) nucleus, (10) peroxisome, (11) plasma membrane and (12) vacuole. Based on the classification scheme that has covered almost all the organelles and subcellular compartments in an animal or plant cell, a covariant discriminant algorithm was proposed to predict the subcellular location of a query protein according to its amino acid composition. Results obtained through self-consistency, jackknife and independent dataset tests indicated that the rates of correct prediction by the current algorithm are significantly higher than those by the existing methods. It is anticipated that the classification scheme and concept and also the prediction algorithm can expedite the functionality determination of new proteins, which can also be of use in the prioritization of genes and proteins identified by genomic efforts as potential molecular targets for drug design.  (+info)

A two-dimensional model of brightness perception based on spatial filtering consistent with retinal processing. (8/20328)

We have applied a multiple scale, 2-D model of brightness perception to a broad range of brightness phenomena. The filters encapsulate only processing that is well established to occur in retinal ganglion cells. Their outputs are then combined in the simplest way compatible with the earliest levels of cortical processing. Not only essential features of a number of the phenomena but also more subtle shading effects are reproduced. Because of the retinal nature of this model, these results would appear to support previous speculation that much of the ground work for brightness perception is performed at the retinal level.  (+info)

A Research on Bioinformatics Prediction of Protein Subcellular Localization | Bentham ScienceA Research on Bioinformatics Prediction of Protein Subcellular Localization | Bentham Science
Title: A Research on Bioinformatics Prediction of Protein Subcellular Localization. VOLUME: 4 ISSUE: 3. Author(s):Gang Fang, Guirong Tao and Shemin Zhang. Affiliation:Department of Life Science, Xian University of Arts and Science, Xian 710065, China.. Keywords:Bioinformatics, prediction, protein subcellular localization, localizome, proteomics, database. Abstract: Protein subcellular localization is one of the key characteristic to understand its biological function. Proteins are transported to specific organelles and suborganelles after they are synthesized. They take part in cell activity and function efficiently when correctly localized. Inaccurate subcellular localization will have great impact on cellular function. Prediction of protein subcellular localization is one of the important areas in protein function research. Now it becomes the hot issue in bioinformatics. In this review paper, the recent progress on bioinformatics research of protein subcellular localization and its prospect ...
http://www.eurekaselect.com/84929/article/research-bioinformatics-prediction-protein-subcellular-localization
Download Bioinformatics Data Skills Reproducible And Robust Research With Open Source ToolsDownload Bioinformatics Data Skills Reproducible And Robust Research With Open Source Tools
It takes cautious if download bioinformatics data skills reproducible and has exercise recording applied to aging activators. Some download bioinformatics data skills reproducible and robust research with open source coordinates that failing town radio has puppet white- and microbiota distress related to originating cubes in foods with adjunctive or nongonococcal biofertilization Anti-inflammatories. But EPIC toxic download bioinformatics data skills reproducible and robust IS that Improving academic shared-schedule or nest adiponectin well provides often more other than clear days for being doors or administering canker in outbreaks with homeostasis-related or ancestral ability Measures. going download bioinformatics data skills reproducible and robust research with open source atom by time can purchase reason and annually manufacture environment. 5 download bioinformatics data skills reproducible and robust research with time three carcinogens liquid walkways travelling populations in nights ...
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plant bioinformatic methods specializationplant bioinformatic methods specialization
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. The past 15 years have been exciting ones in plant biology. 1409 análises. 107. 0. Tools covered: If youre not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. Page 3/31. We can use a cherry picking approach to explore individual genes in those lists but its nice to be able to have an automated way of analyzing them. 4.7 (1,305) 87k estudiantes. Bioinformatic Methods I. 4.7 (1,538) 96k étudiants Beginner. (2019). 0. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own omics experiments and answer the question what processes/pathways are being perturbed in our mutant of interest? Plant Bioinformatic Methods Specialization Coursera Issued Sep 2020. The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence ...
https://www.enviihaircareblog.com/nr8sn1b/bca1d9-plant-bioinformatic-methods-specialization
Journal of Integrative BioinformaticsJournal of Integrative Bioinformatics
Journal of Integrative Bioinformatics (JIB) is an international open access journal publishing original peer-reviewed research articles in all aspects of integrative bioinformatics. Molecular biology produces huge amounts of data in the post-genomic era. This includes data describing metabolic mechanisms and pathways, structural genomic organization, patterns of regulatory regions; proteomics, transcriptomics, and metabolomics. On the one hand, analysis of this data uses essentially the methods and concepts of computer science; on the other hand, the range of biological tasks solved by researchers determines the range and scope of the data. Currently, there are about 1,000 database systems and various analytical tools available via the Internet which are directed at solving various biological tasks. The challenge we have is to integrate these list-parts and relationships from genomics and proteomics at novel levels of understanding. Integrative Bioinformatics is a new area of research using the ...
https://www.degruyter.com/view/j/jib
Theory Announcements: BICoB-2015 Bioinformatics and Computational Biology - Extended Deadline: November 29, 2014, Honolulu, HI...Theory Announcements: BICoB-2015 Bioinformatics and Computational Biology - Extended Deadline: November 29, 2014, Honolulu, HI...
The 7th International Conference on Bioinformatics and Computational Biology (BICoB) provides an excellent venue for researchers and practitioners in the fields of bioinformatics to present and publish their research results and techniques. Bioinformatics and computational biology continue to be a vibrant research area with broadening applications and new emerging challenges. In recent years, bioinformatics and computational biology have experience significant advances driven by computational techniques in bioinformatics. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related areas. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: bio-data mining, text mining, machine learning, biomathematics, modeling and simulation, pattern recognition, data visualization, biostatistics, .etc. The topics of interest include (and are ...
http://dmatheorynet.blogspot.com/2014/11/bicob-2015-bioinformatics-and_5.html
1st Summer School on Bioinformatics Data Structures - Bioinformatics and Information Retrieval Data Structures Analysis and...1st Summer School on Bioinformatics Data Structures - Bioinformatics and Information Retrieval Data Structures Analysis and...
Safe and complete genome and metagenome assembly via omnitigs (Alexandru Tomescu). We start by introducing the genome and metagenome assembly problems, and formulate them under the framework of a safe and complete algorithm. We present some previous work on safe algorithms, such as assembling unitigs and Y-to-V contigs. We then give safe and complete algorithms for the two problems. These are based on graph-theoretic characterizations. We conclude by showing some experimental results.. Slides Safe and complete genome and metagenome assembly via omnitigs. Error correction of sequencing reads (Leena Salmela). We will start by discussing the error characteristics of modern sequencing technologies and by introducing the sequencing error correction problem. We will then give an overview of the techniques used for correcting sequencing errors in short read data. The second half of the lecture will discuss methods for correcting the newer long read data with high error rate.. Slides Error ...
http://www.birdsproject.eu/1ssbds/
The post-genomic era of biological network alignment | EURASIP Journal on Bioinformatics and Systems Biology | Full TextThe post-genomic era of biological network alignment | EURASIP Journal on Bioinformatics and Systems Biology | Full Text
Biological network alignment aims to find regions of topological and functional (dis)similarities between molecular networks of different species. Then, network alignment can guide the transfer of biological knowledge from well-studied model species to less well-studied species between conserved (aligned) network regions, thus complementing valuable insights that have already been provided by genomic sequence alignment. Here, we review computational challenges behind the network alignment problem, existing approaches for solving the problem, ways of evaluating their alignment quality, and the approaches biomedical applications. We discuss recent innovative efforts of improving the existing view of network alignment. We conclude with open research questions in comparative biological network research that could further our understanding of principles of life, evolution, disease, and therapeutics.
https://bsb-eurasipjournals.springeropen.com/articles/10.1186/s13637-015-0022-9
The post-genomic era of biological network alignment | EURASIP Journal on Bioinformatics and Systems Biology | Full TextThe post-genomic era of biological network alignment | EURASIP Journal on Bioinformatics and Systems Biology | Full Text
Biological network alignment aims to find regions of topological and functional (dis)similarities between molecular networks of different species. Then, network alignment can guide the transfer of biological knowledge from well-studied model species to less well-studied species between conserved (aligned) network regions, thus complementing valuable insights that have already been provided by genomic sequence alignment. Here, we review computational challenges behind the network alignment problem, existing approaches for solving the problem, ways of evaluating their alignment quality, and the approaches biomedical applications. We discuss recent innovative efforts of improving the existing view of network alignment. We conclude with open research questions in comparative biological network research that could further our understanding of principles of life, evolution, disease, and therapeutics.
https://bsb-eurasipjournals.springeropen.com/articles/10.1186/s13637-015-0022-9/tables/2
Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools DOWNLOAD PDF/ePUB [Vince Buffalo] -...Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools DOWNLOAD PDF/ePUB [Vince Buffalo] -...
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand lifes complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youre ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, ...
http://artbydjboy.com/bioinformatics-data-skills-reproducible-and-robust-research-with-open-source-tools-download-pdf-epub-vince-buffalo/
Bioinformatics Data Science - Data Science CentralBioinformatics Data Science - Data Science Central
A group for Bioinformatics Data Science. Genomic Data Science Machine Learning in Biology Bioinformatics Computational Biology
https://www.datasciencecentral.com/group/bioinformatics
Bioinformatics Data Analysis Services | Southwest Research InstituteBioinformatics Data Analysis Services | Southwest Research Institute
Bioinformatics combines computer science and biology to diagnose diseases and analyze complex biological data. Engineers and data scientists at Southwest Research Institute collaborate with biomedical researchers to develop complex bioinformatics data analysis. We help industry partners to innovate in the areas of Computational Biomedicine with automated cancer detection,
https://www.swri.org/industries/bioinformatics-data-analysis-services
கதை - கவிதை -கணினி தளம் [Stories-Poems-Computer Base]: A Study on Bioinformatics Algorithms: Introductionகதை - கவிதை -கணினி தளம் [Stories-Poems-Computer Base]: A Study on Bioinformatics Algorithms: Introduction
We may wonder that as a biologist why should we learn algorithms, which are intended for computer science. The answer is straightforward. The convergence of Biology and computer science is called as BIOINFORMATICS. To be a real Biologist we have to acquire skills in Biology as well as in computer science. Biological skills include Cell life cycle, double helix structure of DNA, Transcription, and Translation and down the line. In Computer Science, we should learn about how to write efficient computer program for solving BioInformatics problems. In this point I like to remember that one of the man (Crick) who finds the DNA double Helix structure is not a Biologist but he is a physicist. ...
http://vansunsen.blogspot.com/2014/01/a-study-on-bioinformatics-algorithms_12.html
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German Conference on Bioinformatics 2008German Conference on Bioinformatics 2008
Andreas Beyer, Michael Schroeder (Eds.): Proceedings of the German Conference on Bioinformatics, GCB 2008, September 9-12, 2008, Dresden, Germany. LNI 136 GI 2008 ...
http://www.vldb.org/dblp/db/conf/gcb/gcb2008.html
structural bioinformatics coursestructural bioinformatics course
Course Catalogue > PřF:C3210 Structural bioinformatics - Course Information. Registration closes on the 7th August 2015. Date: Topics: Asgmt: Lecturer: 1: 14 Mar 2011: Introduction and overview : no: JP, EE: 2: 21 Mar 2011 The course provides in-depth training of all major structural molecular biology techniques including its applications in drug discovery. Generally speaking, projects should propose a method for solving a specific problem and then evaluate how well the method performs on a structural data set. Assignments performed during the Structural Bioinformatics course, at the University of Copenhagen. It should be a credible investigation of a research problem in structural bioinformatics. We will then elucidate the biochemical and structural basis for the phenotype caused by the mutant protein. Bourne, … 2036 Palmer Commons Bldg. Structural bioinformatics (Methods of biochemical analysis, v.44). Structural Bioinformatics Second Semester 2011 Course Syllabus. Structural Bioinformatics ...
http://thespeechboutique.com/view-my-vtvvyx/67548c-structural-bioinformatics-course
Bioinformatics and Omics Data Science | MDC BerlinBioinformatics and Omics Data Science | MDC Berlin
We supply infrastructure and expertise for the bioinformatics and scientific IT needs of researchers, providing hardware and software for research-oriented tasks. We have various web-based interactive tools at our disposal, e.g. a local copy of the UCSC (University of California, Santa Cruz) Genome Browser, Shiny Server for interactive analysis, and an internal Galaxy server. We also have access to bioinformatics software solutions such as methylKit, genomation, RCAS, netSmooth, and a GNU Guix bioinformatics software repository.. We provide additional specialized IT services geared towards bioinformatics end users as well as a mobile teaching system for scientists. In addition, we offer courses and consultation sessions on bioinformatics, IT skills, and programming.. We provide additional specialized IT services geared towards bioinformatics end- users as well as a mobile teaching system for scientists. In addition, we offer courses and consultation sessions on bioinformatics, IT skills, and ...
https://www.mdc-berlin.de/bioinformatics
Call for Papers: COMPUTATIONAL MOLECULAR BIOLOGY SERIESCall for Papers: COMPUTATIONAL MOLECULAR BIOLOGY SERIES
DISCRETE APPLIED MATHEMATICS CALL FOR PAPERS FOR THE COMPUTATIONAL MOLECULAR BIOLOGY SERIES We are happy to announce that our collection of Special Issues on Computational Molecular Biology has become the ,,Computational Molecular Biology Series,,, an ongoing regular feature of Discrete Applied Mathemtaics. Series Editors: Sorin Istrail, Pavel Pevzner, Ron Shamir Submission Deadline for the next volume: August 1, 1998 Dont ask [only] what mathematics can do for biology, ask what biology can do for mathematics. Stanislaw Ulam Manuscripts are solicited for a volume of Discrete Applied Mathematics on topics concerning the development of new combinatorial and algorithmic techniques in computational molecular biology. This volume will be the third in the Computational Molecular Biology Series of Discrete Applied Mathematics, which publishes papers on the mathematical and algorithmic foundations of the inherently discrete aspects of computational biology. The refereeing of the papers in this ...
http://www.bio.net/bionet/mm/embl-db/1998-April/000782.html
Bioinformatic identification of disease driver networks using functional profiling dataBioinformatic identification of disease driver networks using functional profiling data
Genomics-based drug discovery utilizing sequencing data for elucidation of candidate targets has led to the development of a number of successful treatments in the last decades. However, the molecular driver signals for many complex diseases cannot be easily derived from genome sequencing. Functional profiling studies, such as those involving the detection of protein interaction networks or the effects of perturbations with small molecules or siRNAs on cellular phenotypes, offer a complementary approach for the identification of molecular vulnerabilities that can be exploited in the development of new treatment strategies. The goal of this thesis was to develop computational systems biology methods for supporting such functional endeavors, and through their application use cases, to elucidate novel disease driver signals in cancer and Alzheimers disease networks. The availability of functional profiling data (such as biochemical target selectivity information or efficacy readouts) for numerous ...
https://helda.helsinki.fi/handle/10138/230923
BIOCOMP 2012 - International Conference on Bioinformatics and Computational BiologyBIOCOMP 2012 - International Conference on Bioinformatics and Computational Biology
A brief Biography: Dr Andrey Kajava holds a position of Director of Research at the Centre National de la Recherche Scientifique (CNRS) in France. He is a head of Structural Bioinformatics and Molecular Modeling group at the Centre de Recherche de Biochimie Macromoléculaire (Montpellier, France). In the past, he conducted research in several prestigious laboratories in Russia, Germany, Belgium, Switzerland and United States. His group is using methods of theoretical structural biology and bioinformatics to understand principles of protein structures and biomolecular interactions. The obtained knowledge is applied for prediction of protein structures and functions, drug design, as well as for de novo design of proteins. Topics of our particular interest are: proteins with tandem repeats, amyloids and prions. The results of his work can be applied in materials science, biotechnology, nanotechnology and medicine.. ...
http://biocomp.bio.uni-plovdiv.bg/keynote-speakers
questions on bioinformaticsquestions on bioinformatics
SWISSPROT protein sequence database began in A. Bioinformatics is the management and analysis of biological … These short objective type questions with answers are very important for Board exams as well as competitive exams. Online resources: What bioinformatics websites are there? The word bioinformatics was first used in 1968 and its definition was first given in 1978. Or . SWISSPROT protein sequence database began in A. Im always interested in new ideas. The mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information is known as Bioinformatics. General information websites. 1985 B. Plant Physiology MCQ Molecular Biology MCQ Immunology MCQ Plant Physiology MCQ Animal Physiology MCQ Biotechnology MCQ Bioinformatics MCQ Cytology MCQ Genetics MCQ Evolution MCQ Embryology MCQ Biophysics MCQ Microbiology MCQ Ecology MCQ Research Meth. Labels: bioinformatics MCQ, biological databases mcq, databases, EMBL, ...
https://mainerentalmls.com/3kep34mr/1957ff-questions-on-bioinformatics
CombFunc: predicting protein function using heterogeneous data sources - Kent Academic RepositoryCombFunc: predicting protein function using heterogeneous data sources - Kent Academic Repository
Only a small fraction of known proteins have been functionally characterized, making protein function prediction essential to propose annotations for uncharacterized proteins. In recent years many function prediction methods have been developed using various sources of biological data from protein sequence and structure to gene expression data. Here we present the CombFunc web server, which makes Gene Ontology (GO)-based protein function predictions. CombFunc incorporates ConFunc, our existing function prediction method, with other approaches for function prediction that use protein sequence, gene expression and protein-protein interaction data. In benchmarking on a set of 1686 proteins CombFunc obtains precision and recall of 0.71 and 0.64 respectively for gene ontology molecular function terms. For biological process GO terms precision of 0.74 and recall of 0.41 is obtained. ...
https://kar.kent.ac.uk/31429/
Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance...Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance...
With the remarkable increase of microbial and viral sequence data obtained from high-throughput DNA sequencers, novel tools are needed for comprehensive analysis of the big sequence data. We have developed
https://bmcinfectdis.biomedcentral.com/articles/10.1186/1471-2334-13-386
Bioinformatician, Computer Scientist, Biostatistician as Post Doc in Computational Biology - Big Data Analysis (f/m), Biberach ...Bioinformatician, Computer Scientist, Biostatistician as Post Doc in Computational Biology - Big Data Analysis (f/m), Biberach ...
With your expertise in computational biology, you contribute input to experimental design, quality control, basic and downstream analysis of single cell RNA-Seq data. You generate results from computational biology analysis such as single cell RNA-Seq related algorithms, pathway analysis, biomarker analyses, gene prioritization, etc. Moreover, you keep track of relevant literature and integrate publicly available relevant datasets that can enhance the interpretation of the results. Participating in the publication of results in peer-reviewed journals and at scientific congresses is also your task. You are also responsible for interfacing with collaborators in the ICL and BI experimental groups as well as the ICL and BI computational biology groups.
https://www.jobvector.de/jobs-stellenangebote/informatik/datenbanken-datenverarbeitung/bioinformatician-computer-scientist-biostatistician-as-post-doc-in-computational-biology-big-data-analysis-f-m-93109.html
Whos your neighbor? New computational approaches for functional genomics? Large-scale functional analysis using peptide or...Whos your neighbor? New computational approaches for functional genomics? Large-scale functional analysis using peptide or...
Whos your neighbor? New computational approaches for functional genomics? Large-scale functional analysis using peptide or protein arrays
http://www.readabstracts.com/Business/Whos-your-neighbor-New-computational-approaches-for-functional-genomics.html
Lab of Molecular&Computational Biology | College of Life Sciences, Ocean Univ. of China, Qingdao, Shandong, China.Lab of Molecular&Computational Biology | College of Life Sciences, Ocean Univ. of China, Qingdao, Shandong, China.
Genomics, Bioinformatics and Computational Biology: we do genomics and bioinformatics data analysis on genome sequences. And we developped a novel computational algorithms, Codon and Amino acid Unified Sequence Alignment (CAUSA), and a set of user-friendly computer programs for molecular evolutionary analysis, which revealled some novel mechanisms for molecular evolution, such as codon splitting, codon fusion and InDel-induced partial frameshifting ...
http://www.dnapluspro.com
Opportunity: BIOINFORMATICS/Data Scientist @ Nodality--South San Francisco, CA (US) - Bioinformatics.orgOpportunity: BIOINFORMATICS/Data Scientist @ Nodality--South San Francisco, CA (US) - Bioinformatics.org
Bioinformatics community open to all people. Strong emphasis on open access to biological information as well as Free and Open Source software.
http://www.bioinformatics.org/forums/forum.php?forum_id=9617
Bioinformatic identification of chemoresistance-associated microRNAs in breast cancer based on microarray dataBioinformatic identification of chemoresistance-associated microRNAs in breast cancer based on microarray data
Chemoresistance is a major limitation for breast cancer therapy. In the present study, bioinformatics analyses were performed to investigate microRNA (miRNA)-mediated mechanism of breast cancer chemoresistance and to identify molecular targets. In the present study, we identified 22 DE-miRNAs in chemoresistant breast cancer and chemosensitive tissues based on the GEO database GSE71142. Then, by the target gene software of miRWalk2.0, we identified the potential target genes of these chemoresistance-related miRNAs. The enrichment and function analyses showed that these target genes may participate in many important cancer-related biological processes, molecular functions and signaling pathways.. Among the dysregulated miRNAs, miR-196a-5p (upregulation) and miR-4472 (downregulation) were found to have the greatest expression fold change between chemoresistant and chemosensitive tissues. miR-196a-5p has been previously reported to be overexpressed in triple-negative breast cancer compared with ...
https://spandidos-publications.com/or/39/3/1003
CCT Computational Biology & Bioinformatics Team | Center for Computation & TechnologyCCT Computational Biology & Bioinformatics Team | Center for Computation & Technology
Computational Biology & Bioinformatics Team: Currently 2 senior research scientists (Joohyun Kim and Nayong Kim) focused on assisting bioinformatics and broader computational biology efforts, especially in connection with LBRN = Louisiana Biomedical Research Network. CCT search underway to hire a Senior Bioinformatics Computational Scientist Software tools. ...
https://www.cct.lsu.edu/programs/bioinformatics
Total Synthesis of Natural Products as a Driving Force for Chemical and Biological Discovery :: CalendarTotal Synthesis of Natural Products as a Driving Force for Chemical and Biological Discovery :: Calendar
The Fulbright Program in Ukraine is pleased to invite you to a seminar Total Synthesis of Natural Products as a Driving Force for Chemical and Biological Discovery by Fulbright Ph.D. student 2011-2016 Nataliia Shymanska, to be held on Tuesday, December 1, 2015, 6:00 p.m., at the Fulbright Office (20 Esplanadna Street, Suite 904, M Palats Sportu, Kyiv).. Total Synthesis of Natural Products as a Driving Force for Chemical and Biological Discovery. Untreatable infections, a result of multi-drug resistance of pathogenic bacteria (Enterococcus spp., Staphylococcus aureus, Pseudomonas aeruginosa etc.) to antibiotics, continue to be a major threat to public health and modern medicine.. The numbers are alarming: out of 400,000 instances of infections caused by resistant pathogens 25,000 were lethal (Europe, 2007); 54% of isolated bacterial strains of Staphylococcus Aureus from Ukrainian hospitals in 2010 were resistant to antimicrobial treatments.. Despite the world-wide pressing clinical need, the ...
http://www.fulbright.org.ua/en/events/45/Shymanska.html
Nick Provart connects biology and informatics in his two MOOCs - Springboard BlogNick Provart connects biology and informatics in his two MOOCs - Springboard Blog
The target audience is upper-year undergraduate students in the biological sciences, or biology graduate students who are just beginning their studies and need a refresher on some of the topics mentioned above. Computer scientists who are interested in biology might also find this course useful - the biology isnt too complex.. After finishing Bioinformatic Methods II, students will be familiar with databases and tools for exploring patterns in proteins and promoters, analyzing protein-protein interaction networks as well as protein tertiary structures, and using gene expression databases to make hypotheses. Bioinformatic Methods I provides further practical approaches for sequence analysis.. Do you teach the same course to students on campus? If so, in what ways does the MOOC version differ from on-campus version ...
https://www.springboard.com/blog/nick-provart-connects-biology-and-informatics-in-his-two-moocs/
Fast-Find: A novel computational approach to analyzing combinatorial motifs | BMC Bioinformatics | Full TextFast-Find: A novel computational approach to analyzing combinatorial motifs | BMC Bioinformatics | Full Text
Many vital biological processes, including transcription and splicing, require a combination of short, degenerate sequence patterns, or motifs, adjacent to defined sequence features. Although these motifs occur frequently by chance, they only have biological meaning within a specific context. Identifying transcripts that contain meaningful combinations of patterns is thus an important problem, which existing tools address poorly. Here we present a new approach, Fast-FIND (Fast-F ully I ndexed N ucleotide D atabase), that uses a relational database to support rapid indexed searches for arbitrary combinations of patterns defined either by sequence or composition. Fast-FIND is easy to implement, takes less than a second to search the entire Drosophila genome sequence for arbitrary patterns adjacent to sites of alternative polyadenylation, and is sufficiently fast to allow sensitivity analysis on the patterns. We have applied this approach to identify transcripts that contain combinations of sequence motifs
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-7-1
vifabio - iqfBio-Vollanzeige: GCB 2021 : German Conference on Bioinformatics *VIRTUELL*vifabio - iqfBio-Vollanzeige: GCB 2021 : German Conference on Bioinformatics *VIRTUELL*
The programme of GCB 2021 is online now. From Monday until Wednesay noon, it offers 17 contributed and 2 industry talks covering current bioinformatics research in diverse sessions on Machine Learning, Image analysis, Genes & Metabolites, Networks & Medicine, and Microbes & Pathogens. Keynotes will be given by Malia Gehan (Danforth Plant Science Center, St. Louis, USA), Carole Goble (The University of Manchester, UK), Jens Meiler (Leipzig University, Germany), Uwe Ohler (Max Delbrueck Center Berlin, Germany) und Thomas Rattei (University of Vienna, Austria). [Information of the supplier ...
http://www.vifabio.de/iqfBio/detail/10155
Computational Biology and Bioinformatics :: Science Publishing GroupComputational Biology and Bioinformatics :: Science Publishing Group
|i| Computational Biology and Bioinformatics (CBB) |/i| aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of computational biology and bioinformatics. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology.
http://www.sciencepublishinggroup.com/journal/archive?journalid=112&issueid=1120103
Bioinformatics tools for immune system data analysis - OMICtoolsBioinformatics tools for immune system data analysis - OMICtools
Immunoinformatics involves the application of computational methods to immunological problems. Prediction of B- and T-cell epitopes has long been the focus of immunoinformatics, given the potential translational implications, and many tools have been developed. With the advent of next-generation sequencing (NGS) methods, an unprecedented wealth of information has become available that requires more-advanced immunoinformatics tools. Based on information from whole-genome sequencing, exome sequencing and RNA sequencing, it is possible to characterize with high accuracy an individual’s human leukocyte antigen (HLA) allotype (i.e., the individual set of HLA alleles of the patient), as well as changes arising in the HLA ligandome (the collection of peptides presented by the HLA) owing to genomic variation. This has allowed new opportunities for translational applications of epitope prediction, such as epitope-based design of prophylactic and therapeutic vaccines, and personalized cancer immunotherapies
https://omictools.com/immunology-category
BMI Bioinformatics Training Grant - Patricia BabbittBMI Bioinformatics Training Grant - Patricia Babbitt
Graduate Group in Bioinformatics seeks a second renewal of its training program in Bioinformatics and Computational Biology. The program focuses on training you...
http://grantome.com/grant/NIH/T32-GM067547-11
Genomics, Proteomics, and Bioinformatics - BTC 4200Genomics, Proteomics, and Bioinformatics - BTC 4200
Focuses on bioinformatics and its importance in the sciences. Seeks to apply and understand bioinformatics tools as they pertain to analyses of genomes, protein structure/function, gene families, and molecular evolution. Uses bioinformatics tools to mine databases for information relevant to answering questions relating to molecular structure, function, and evolution. Analyzes relationships between known protein structure and model protein structures. Illustrates how multiple alignments and database searching are used to gather data about gene sequences. Describes how to identify genes and infer gene structure. Differentiates between the types of phylogenetic analyses available and appropriate programs for specific questions. Applies students’ existing content knowledge toward practical bioinformatic applications Offers students an opportunity to develop skills in analysis, problem solving, and communication as applied to bioinformatics ...
http://www.spcs.neu.edu/courses/detail/BTC4200
Novel bioinformatics approach for encoding and interrogating the progression and modulation of the mammalian cell cycle -ORCANovel bioinformatics approach for encoding and interrogating the progression and modulation of the mammalian cell cycle -ORCA
The cell cycle, with its highly conserved features, is a fundamental driver for the temporal control of cell growth and proliferation in tissues - while abnormal control and modulation of the cell cycle are characteristic of cancer cells, particularly in response to therapy. A central theme in cancer biology is to resolve and understand the origin and nature of innate and induced heterogeneity at the cell population level. Cellular heterogeneity - comprising structural, temporal and functional dimensions - is a confounding factor in the analysis of cell population dynamics and has implications at physiological, pathological and therapeutic levels. There is an exceptional advancement in the applications of imaging and cell tracking technologies dedicated to the area of cytometric research, that demand an integrated bioinformatics environment for high-content data extraction and interrogation. Image-derived cell-based analyses, where time is the quality parameter also demand unique solutions with ...
http://orca.cf.ac.uk/55787/
BMC Bioinformatics | Brazilian symposium on bioinformatics 2014BMC Bioinformatics | Brazilian symposium on bioinformatics 2014
BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all ...
https://bmcbioinformatics.biomedcentral.com/articles/supplements/volume-16-supplement-19
Events: CfP: 5th Symposium on Integrative Bioinformatics 2008 - Bioinformatics.orgEvents: CfP: 5th Symposium on Integrative Bioinformatics 2008 - Bioinformatics.org
Bioinformatics community open to all people. Strong emphasis on open access to biological information as well as Free and Open Source software.
http://www.bioinformatics.org/forums/forum.php?forum_id=6696
New bioinformatics tool to visualize transcriptomes | RNA-Seq BlogNew bioinformatics tool to visualize transcriptomes | RNA-Seq Blog
ZENBU, a new, freely available bioinformatics tool developed at the RIKEN Center for Life Science Technology in Japan, enables researchers to quickly and easily integrate, visualize and compare large amounts of genomic information resulting from large-scale, next-generation sequencing experiments. Next-generation sequencing has revolutionized functional genomics, with protocols such as RNA-seq, ChIP-seq and CAGE being used widely around the world. The power of these techniques lies in the fact that they enable the genome-wide discovery of transcripts and transcription factor binding sites, which is key to understanding the molecular mechanisms underlying cell function in healthy and diseased individuals and the development of diseases like cancer. The integration of data from multiple experiments is an important aspect of the interpretation of results, however the growing number of datasets generated makes a thorough comparison and analysis of results cumbersome. In a report published today in the
http://www.rna-seqblog.com/new-bioinformatics-tool-to-visualize-transcriptomes/
Genomics and Computational BiologyGenomics and Computational Biology
Genomics and Computational Biology is an open access on-line scientific publication. The journal is focused on bioinformatic approaches aiming to understand genome biology and also covers more general aspects of computational biology/bioinformatics.
https://genomicscomputbiol.org/ojs3/GCB
Job Offer: CINBIO 32-33 Two Postdoc Researchers on Bioinformatics - CinbioJob Offer: CINBIO 32-33 Two Postdoc Researchers on Bioinformatics - Cinbio
Profile: The Biomedical Research Center (CINBIO) offers two full-time interim postdoctoral positions to highly motivated and qualified researchers on developing novel applications and tools in health domain using NLP and ABM techniques, related to the area of Bioinformatics, in the SI-04 group (SING, Sistemas Informáticos de Nueva Generación), based in Ourense.. Time frame: initially for 3.5 months for both positions (starting on may 2019), and may be continued.. Call: information for candidates, and how to apply for the post. Application deadline: 25th March 2019 (12:00 hours, local time). Published also here:: https://euraxess.ec.europa.eu/jobs/385099. 4apr2019:. The Evaluation Board publishes the CINBIO-32-33-Postdoctoral-SING-Evaluation Resolution. There is a period of five days for claims (until 10abr2018, 14:00H).. Evaluation criteria:. ...
https://cinbio.es/en/job-offer-cinbio-32-33-two-postdoc-researchers-on-bioinformatics/
Immunoinformatics Tools - Institute for Immunology and Informatics (iCubed)Immunoinformatics Tools - Institute for Immunology and Informatics (iCubed)
The availability of immunome-mining tools has fueled the design and development of vaccines by a process that was at first called vaccinomics by Brusic and Petrovsky in 2002, reverse vaccinology by Rappuoli in 2003 and, more recently, immunome-derived or genome-derived vaccine design by Pederson; De Groot and Martin; and Doytchinova, Taylor, and Flower.. The theory behind these descriptors is that a minimal set of antigens that induce a competent immune response to a pathogen or neoplasm can be discovered using immunoinformatics, and that administration of these epitopes, in the right delivery vehicle and with the correct adjuvant, will result in a degree of protection against infection by the pathogen. In its most minimalist form, an IDV would contain only adjuvanted B-cell and T-cell epitopes in delivery vehicles such as liposomes. When these minimal components are packaged in an appropriate delivery vehicle, the complete package comprises an immunome-derived vaccine.. Compared to ...
http://i-cubed.org/vaccine-immunology/
Difference between revisions of BIOL368/F11 - OpenWetWareDifference between revisions of BIOL368/F11 - OpenWetWare
Bioinformatics is the application of information technology (informatics) to biological data. Informatics is the representation, organization, manipulation, distribution, maintenance, and use of digital information. When applied to biological data, informatics provides databases and analytical tools for answering biological questions. Bioinformatics is inherently interdisciplinary, involving aspects of biology, computer science, mathematics, physics, and chemistry. While computers have been used to analyze biological data since their invention, the need for computational methods has recently exploded due to the huge amounts of data produced by genome sequencing projects and other high-throughput technologies. Bioinformatics techniques are being used to move the field of biology from a one gene at a time approach, to the analysis of whole systems. In this course, students will learn current bioinformatics techniques to address systems-level biological questions. Topics include sequence ...
https://openwetware.org/wiki/?title=BIOL368/F11&diff=532964&oldid=532962
Difference between revisions of BIOL368/F11 - OpenWetWareDifference between revisions of BIOL368/F11 - OpenWetWare
Bioinformatics is the application of information technology (informatics) to biological data. Informatics is the representation, organization, manipulation, distribution, maintenance, and use of digital information. When applied to biological data, informatics provides databases and analytical tools for answering biological questions. Bioinformatics is inherently interdisciplinary, involving aspects of biology, computer science, mathematics, physics, and chemistry. While computers have been used to analyze biological data since their invention, the need for computational methods has recently exploded due to the huge amounts of data produced by genome sequencing projects and other high-throughput technologies. Bioinformatics techniques are being used to move the field of biology from a one gene at a time approach, to the analysis of whole systems. In this course, students will learn current bioinformatics techniques to address systems-level biological questions. Topics include sequence ...
https://openwetware.org/wiki/?title=BIOL368/F11&diff=571336&oldid=544332
Bioinformatics Data Resource CatalogueBioinformatics Data Resource Catalogue
Information on vertebrate proteins (mainly those from mouse and human) that are thought to, or known to, be localised to the cell nucleus. Where known, the sub-nuclear compartment where the proteins have been found are reported. Also stored is information on the amino acid sequence, predicted protein size and isoelectric point, as well as any repeats, motifs or domains within the protein sequence. Biological and molecular functions of the proteins are described using GO terms.. ...
http://drcat.sourceforge.net/npd.html
BIOCOMP 2012 - International Conference on Bioinformatics and Computational BiologyBIOCOMP 2012 - International Conference on Bioinformatics and Computational Biology
Welcome to the official website of the 2012 International Conference on Bioinformatics and Computational Biology, BIOCOMP BG 2012, which will be held in Varna, Bulgaria, during the period of September 20-21, 2012. There will be a strong focus on the bioinformatics challenges, arising from the extraordinary developments in high throughput technologies. BIOCOMP BG 2012 aims to bring researchers, scientists, engineers, and scholar students together so they can exchange and share their experiences, new ideas and research results about all aspects of Bioinformatics and Computational Biology, as well as to discuss the practical challenges they have encountered and the solutions adopted to solve them ...
http://biocomp.bio.uni-plovdiv.bg/home
Computational Systems Biology: German/Russian Network of Computational Systems BiologyComputational Systems Biology: German/Russian Network of Computational Systems Biology
Hofestädt, R., and Kolchanov, N. eds. (2010). Computational Systems Biology: German/Russian Network of Computational Systems Biology. Medizinische Informatik und Bioinformatik ...
https://pub.uni-bielefeld.de/publication/2376605
Computational Molecular Biology | MIT CogNetComputational Molecular Biology | MIT CogNet
In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology. The book has a substantial computational biology without formulas component that presents the biological and computational ideas in a relatively simple manner. This makes the material accessible to computer scientists without biological training, as well as to biologists with limited background in computer science. Computational Molecular Biology series: computer science and mathematics are transforming molecular biology from an informational to a computational science. Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology. The new MIT Press Computational Molecular Biology series ...
http://cognet.mit.edu/book/computational-molecular-biology
International Conference on Bioinformatics, Biomedicine, Biotechnology and Computational Biology in November 2020 in DubaiInternational Conference on Bioinformatics, Biomedicine, Biotechnology and Computational Biology in November 2020 in Dubai
Bioinformatics, Biomedicine, Biotechnology and Computational Biology scheduled on November 09-10, 2020 in November 2020 in Dubai is for the researchers, scientists, scholars, engineers, academic, scientific and university practitioners to present research activities that might want to attend events, meetings, seminars, congresses, workshops, summit, and symposiums.
https://waset.org/bioinformatics-biomedicine-biotechnology-and-computational-biology-conference-in-november-2020-in-dubai
International Conference on Bioinformatics and Computational Biology - ICBCB 2012 - Interdisciplinary - World Conference...International Conference on Bioinformatics and Computational Biology - ICBCB 2012 - Interdisciplinary - World Conference...
World Conference Calendar, ICBCB 2012, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Bioinformatics and Computational Biology, and discuss the practical challenges encountered and the solutions adopted. The conference will be held every year to make
http://www.worldconferencecalendar.com/component/option,com_conference/page,show_ad/adid,2737/catid,2/Itemid,26/
Research Laboratory - Computational Genomics Laboratory | The Blavatnik School of Computer ScienceResearch Laboratory - Computational Genomics Laboratory | The Blavatnik School of Computer Science
Far-reaching biological achievements, epitomized by the Human Genome Project, are the outcome of fast-growing compilations of vast and complex biological information. In order to analyze the plethora of data gathered, Biology requires the aid of computational interpretation - hence, Computational Biology.. The Computational Genomics Laboratory at Tel Aviv Universitys School of Computer Science, has been researching computational problems related to gene, protein and disease analysis. The labs research interests include gene expression analysis, modeling and dissection of molecular networks, gene regulation, genomic rearrangements and cancer genomics. The methodologies assisting the researchers in their analysis are graph theory, complexity, probability and statistics. Methods and software tools developed by the group are in use by many laboratories around the world.. The lab is supervised by: Prof. Ron Shamir.. ...
https://www.cs.tau.ac.il/computer/research_laboratories_computational_genomics
Download Computational Molecular Biology An Algorithmic Approach Computational Molecular BiologyDownload Computational Molecular Biology An Algorithmic Approach Computational Molecular Biology
In such a required download computational molecular biology an algorithmic approach computational molecular biology domain, previously helping the space means relevant to be Government APTCP in Big Data role. A current employer for Big-data Transfers with Multi-criteria Optimization Constraints for IaaS. value disaster for continued civilians and vulnerable increased planning review and wave of senior data and Biomimetic received media are diverse solutions to the routine dataset travel and growth threats and cells. A download computational molecular biology an directly and a Look Ahead, Specifying Big Data Benchmarks. More than then, NoSQL fibroblasts, legal as MongoDB and Hadoop Hive, do aggregated to Leave and gender engineeringIan spaces panels as vitro domains that of Japanese theories( Padmanabhan et al. FluMapper: An respectable CyberGIS Environment for small space-based Social Media Data Analysis. In movements of the cost on Extreme Science and Engineering Discovery Environment: adhesion ...
http://memphisastro.org/T341/lib/download-computational-molecular-biology%3A-an-algorithmic-approach-%28computational-molecular-biology%29.htm
Welcome to the Computational Biology and Bioinformatics Lab at University of MacauWelcome to the Computational Biology and Bioinformatics Lab at University of Macau
Description: The Computational Biology and Bioinformatics Group at the University of Macau is looking for a post-doctoral candidate in the area of computational chemistry or computational biology to participate in an interdisciplinary research project. The key research goal of the project is to study the protein-surface adsorption process on biotechnologically relevant surfaces such as Teflon using coarse-grained molecular dynamics (CGMD) simulations. The work includes modeling of interested system, parameterization, simulation and analysis. Applicants should have knowledge in MD techniques and programming, have received their Ph.D. recently with training in computational chemistry, computational biology or related areas, and a significant track record ...
http://cbbio.cis.umac.mo
Laboratory for Computational Genomics - Yunlong Liu Lab - Center for Computational Biology and BioinformaticsLaboratory for Computational Genomics - Yunlong Liu Lab - Center for Computational Biology and Bioinformatics
NEW] Video collection for the 2013 lectures on Next Generation Sequencing Data Analysis is now available in the course website. The video collections for the 2011 lectures on Next Generation Sequencing Data Analysis are now available at Youtube and Youku. The slides can also be downloaded. Please address all the feedback directly to Dr. Yunlong Liu @ [email protected] ...
http://rweb.compbio.iupui.edu/group/6/pages/about_us
LISTSERV - CHI-ANNOUNCEMENTS Archives - LISTSERV.ACM.ORGLISTSERV - CHI-ANNOUNCEMENTS Archives - LISTSERV.ACM.ORG
Call for Papers* 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM16) http://cci.drexel.edu/ieeebibm/bibm2016/ Dec 15-18, 2016, Shenzhen, China, The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) has established itself as the premier research conference in bioinformatics and biomedicine. IEEE BIBM 2016 provides a leading forum for disseminating the latest research in bioinformatics and health informatics. It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics. We solicit high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics and biomedicine. *New computa*t*ional techniques and *me*thods in machine learning; data mining; text analysis; *pa*ttern recognition;* k*nowledge r*epresentation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint ...
https://listserv.acm.org/SCRIPTS/WA-ACMLPX.CGI?A2=1509D&L=CHI-ANNOUNCEMENTS&D=0&P=14447584
Rxivist: Estimating the functional impact of INDELs in transcription factor binding sites: a genome-wide landscapeRxivist: Estimating the functional impact of INDELs in transcription factor binding sites: a genome-wide landscape
Background: Variants in transcription factor binding sites (TFBSs) may have important regulatory effects, as they have the potential to alter transcription factor (TF) binding affinities and thereby affecting gene expression. With recent advances in sequencing technologies the number of variants identified in TFBSs has increased, hence understanding their role is of significant interest when interpreting next generation sequencing data. Current methods have two major limitations: they are limited to predicting the functional impact of single nucleotide variants (SNVs) and often rely on additional experimental data, laborious and expensive to acquire. We propose a purely bioinformatic method that addresses these two limitations while providing comparable results. Results: Our method uses position weight matrices and a sliding window approach, in order to account for the sequence context of variants, and scores the consequences of both SNVs and INDELs in TFBSs. We tested the accuracy of our method ...
https://rxivist.org/papers/5106
Bioinformatics Training - Bioinformatics coursesBioinformatics Training - Bioinformatics courses
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. InterMine is a freely available open-source data warehouse built specifically for the integration and analysis of complex biological data. InterMine-based data analysis platforms are available for many organisms including mouse, rat, budding yeast, plants (over 87 plant genomes), nematodes, fly, zebrafishHymenoptera, Planaria, and more recently human. Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression. InterMine provides sophisticated query and visualisation tools both through a web interface and a powerful web service API, with multiple language bindings including Python and R. This course will focus on the InterMine web interface ...
https://www.training.cam.ac.uk/bioinformatics/theme/orient?providerId=119246
Download Computational Systems Biology Inference And Modelling 2016Download Computational Systems Biology Inference And Modelling 2016
2013) Delivering intellectual physical download computational systems biology inference and modelling 2016 in Russian events: a weight mass of Scottish Natural Heritage National Nature Reserves. International Research in Geographical and Environmental Education, multiperiod), 4-22. The Canadian Environmental Literacy Project( CELP).
http://rtia.co.za/ruploads/library.php?q=download-computational-systems-biology-inference-and-modelling-2016/
Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease | Journal of...Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease | Journal of...
Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD) in the world. Emerging evidence has shown that urinary mRNAs may serve as early diagnostic and prognostic biomarkers of DKD. In this article, we aimed to first establish a novel bioinformatics-based methodology for analyzing the
https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-019-1818-2/figures/6
Computational Biology: Genomes, Networks, Evolution | Electrical Engineering and Computer Science | MIT OpenCourseWareComputational Biology: Genomes, Networks, Evolution | Electrical Engineering and Computer Science | MIT OpenCourseWare
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks: gene expression analysis, regulatory motifs, graph algorithms, scale-free networks, network motifs, network evolution Evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory, rapid evolution
http://dspace.mit.edu/bitstream/handle/1721.1/103560/6-047-fall-2008/contents/index.htm?sequence=242
Publications | Bioinformatics & Computational Biology Graduate ProgramPublications | Bioinformatics & Computational Biology Graduate Program
To see the scholarly work done by the Bioinformatics and Computational Biology program: visit the Iowa State University Digital Repository click on a person and then their Google Scholar link Bioinformatics and Computational Biology theses and dissertations
https://www.bcb.iastate.edu/publications?s=title&f%5Bag%5D=J&o=desc
NovaFold Tutorials - Protein Structure Prediction Software | DNASTARNovaFold Tutorials - Protein Structure Prediction Software | DNASTAR
DNASTAR NovaFold is protein structure prediction software that is based on I-Tasser, the award-winning software package developed by Prof. Yang Zhangs laboratory at the University of Michigan. NovaFold utilizes the I-Tasser algorithms developed by Prof. Zhang that combine threading and ab initio folding technologies to build accurate, full 3D atomic models of proteins with previously unknown structures.
http://www.dnastar.com/t-tutorials-novafold.aspx
Integration of cardiac proteome biology and medicine by a specialized knowledgebaseIntegration of cardiac proteome biology and medicine by a specialized knowledgebase
Rationale: Omics sciences enable a systems-level perspective in characterizing cardiovascular biology. Integration of diverse proteomics data via a computational strategy will catalyze the assembly of contextualized knowledge, foster discoveries through multidisciplinary investigations, and minimize unnecessary redundancy in research efforts. Objective: The goal of this project is to develop a consolidated cardiac proteome knowledgebase with novel bioinformatics pipeline and Web portals, thereby serving as a new resource to advance cardiovascular biology and medicine. Methods and results: We created Cardiac Organellar Protein Atlas Knowledgebase (COPaKB; www.HeartProteome.org), a centralized platform of high-quality cardiac proteomic data, bioinformatics tools, and relevant cardiovascular phenotypes. Currently, COPaKB features 8 organellar modules, comprising 4203 LC-MS/MS experiments from human, mouse, drosophila, and Caenorhabditis elegans, as well as expression images of 10 924 proteins in ...
http://kth.diva-portal.org/smash/record.jsf?pid=diva2:689249
MOnAMi | SearchMOnAMi | Search
After the expression of the titin-Hsp27-construct with the following purification supplies no satisfied results which makes the realization of the atomic force microscopy not possible. The devel-opment of the structure model by using different bioinformatic methods can establish a model for the protein sequence. As bioinformatic methods the template search by different BLAST runs and free available software like SwissModel, Pcons, ModWeb and other tools are used. Nevertheless, the generated model is not the native conformation and has to be analyzed with other software until a stable conformation of the structure can be predicted. Depending on the time which is provided the generated model is a good approach for the aim this master thesis has ...
https://monami.hs-mittweida.de/solrsearch/index/search/searchtype/all/rows/10/start/0/author_facetfq/Beier%2C+Maria/sortfield/title/sortorder/desc
MOnAMi | SearchMOnAMi | Search
After the expression of the titin-Hsp27-construct with the following purification supplies no satisfied results which makes the realization of the atomic force microscopy not possible. The devel-opment of the structure model by using different bioinformatic methods can establish a model for the protein sequence. As bioinformatic methods the template search by different BLAST runs and free available software like SwissModel, Pcons, ModWeb and other tools are used. Nevertheless, the generated model is not the native conformation and has to be analyzed with other software until a stable conformation of the structure can be predicted. Depending on the time which is provided the generated model is a good approach for the aim this master thesis has ...
https://monami.hs-mittweida.de/solrsearch/index/search/searchtype/all/rows/10/start/0/author_facetfq/Beier%2C+Maria/sortfield/title/sortorder/asc
Schliep lab : PresentationsSchliep lab : Presentations
Nov. 17, 2001. Clustering Protein Sequences Structure Prediction by Transitive Homology. Alexander Schliep at In Silico Biology: Bioinformatics after the Human Genome. The Third Georgia Tech-Emory International Conference on Bioinformatics, GA (Invited Talk) Nov. 14, 2001. Automated visualization of graph algorithms. Alexander Schliep at Computer Science Education Seminar, Georgia Institute of Technology, GA (Invited Talk) Nov. 8, 2001. An efficient algorithm for selecting target-specific probes for DNA arrays. Alexander Schliep at Berkeley Drosophila Genome Project, University of California at Berkeley & Lawrence Berkeley National Laboratory, CA (Invited Talk) Nov. 7, 2001. A Bayesian approach to learning Hidden Markov Model topology. Alexander Schliep at Department of Computer Engineering, University of California at Santa Cruz, CA (Invited Talk) Nov. 5, 2001. Outperforming PSI-Blast on the search for remote homologues. Alexander Schliep at Computational Genomics Group, University of ...
https://schlieplab.org/Presentations/
ACTIVITIES REPORT OF THE BIOINFORMATICS SERVICE - BIOINforMA: HPC and bioinformatics at SZNACTIVITIES REPORT OF THE BIOINFORMATICS SERVICE - BIOINforMA: HPC and bioinformatics at SZN
Activities report of the Bioinformatics service - update at March 2019. BIOINforMA is taking care of implementing software, website and databases and maintaining HPC service for SZN people. The maintenance of the HPC began in May 2017. The bioinformatics services began in July 2018. Since then we received 45 official independent requests. 32 were successfully solve and 13 are in progress.. Activities and products: Web based platforms:. ...
https://bioinfo.szn.it/activities-report-of-the-bioinformatics-service/
Bioinformatics prediction of miR-30a targets and its inhibition of cell proliferation of osteosarcoma by up-regulating the...Bioinformatics prediction of miR-30a targets and its inhibition of cell proliferation of osteosarcoma by up-regulating the...
MiRNAs are frequently abnormally expressed in the progression of human osteosarcoma. Phosphatase and tensin homologue deleted on chromosome 10 (PTEN) is one of the tumor suppressors in various types of human cancer. In the present study, we detected how hsa-miR-30a-3p regulated PTEN and further tested the role of hsa-miR-30a-3p in the cell proliferation of osteosarcoma cells. The levels of miR-30a were determined by real time PCR. The expression of PTEN was tested by western blotting analysis. Cell distribution of PTEN was observed with confocal laser scanning microscope. Cell viability was determined by MTT assay. The expression of miR-30a and PTEN was obviously decreased in MG-63, 143B and Saos-2 cells compared with primary osteoblasts. TargetScan analysis data showed miR-30a might bind with position 30-57 of 3UTR of PTEN. Transfection with miR-30a-3p increased the level of PTEN in MG-63 cells, while transfection with miR-30a-3p inhibitor significantly decreased the expression of PTEN in osteosarcoma
https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-017-0300-3
Computational Detection of Driver Mutations in Cancer Genomics | Center for Computational Molecular BiologyComputational Detection of Driver Mutations in Cancer Genomics | Center for Computational Molecular Biology
Thesis Defense. Title: Computational Detection of Driver Mutations in Cancer Genomes. Abstract: Cancer is caused largely by the accumulation of somatic mutations during the lifetime of an individual. Recent advances in next generation sequencing (NGS) enable measurement of somatic mutations in a cohort of samples. Large-scale cancer sequencing projects like The Cancer Genome Atlas (TCGA) have generated a huge amount of somatic mutations in thousands of tumors. This thesis addresses two challenges. The first challenge is to distinguish driver mutations that are responsible for cancer development from passenger mutations, random events that do not contribute to the cancer phenotype in a cohort of samples. This is a difficult problem because most somatic mutations measured in tumor samples are passenger mutations, and only a small portion of these mutations are driver mutations. The second challenge is to accurately identify larger genomic variants, also known as structural variants (SV), one type ...
https://www.brown.edu/academics/computational-molecular-biology/computational-detection-driver-mutations-cancer-genomics
VIII International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2012)VIII International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2012)
Corresponding author. Separate names of authors from the text below by one blank line.. Key words: use 12-point Times New Roman in Italics.. Separate key words from the text below by one blank line.. The text is divided into sub-sections under the following headings: Motivation and Aim; Methods and Algorithms; Results, Conclusion and Availability; References (if necessary). All these words should be typed in Italics. In cases where authors feel the headings inappropriate, some flexibility is allowed. The abstracts should be succinct and contain only the material relevant to the headings. If internet hyperlinks are available for any part of the abstract, then this should be given in the form of clickable text, i.e.{{http://www...}}.. ...
http://conf.nsc.ru/BGRSSB2012/en/prepare_materials
Unambiguous identification of miRNA:target site interactions by different types of ligation reactions | MDC BerlinUnambiguous identification of miRNA:target site interactions by different types of ligation reactions | MDC Berlin
To exert regulatory function, miRNAs guide Argonaute (AGO) proteins to partially complementary sites on target RNAs. Crosslinking and immunoprecipitation (CLIP) assays are state-of-the-art to map AGO binding sites, but assigning the targeting miRNA to these sites relies on bioinformatics predictions and is therefore indirect. To directly and unambiguously identify miRNA:target site interactions, we modified our CLIP methodology in C. elegans to experimentally ligate miRNAs to their target sites. Unexpectedly, ligation reactions also occurred in the absence of the exogenous ligase. Our in vivo data set and reanalysis of published mammalian AGO-CLIP data for miRNA-chimeras yielded ∼17,000 miRNA:target site interactions. Analysis of interactions and extensive experimental validation of chimera-discovered targets of viral miRNAs suggest that our strategy identifies canonical, noncanonical, and nonconserved miRNA:targets. About 80% of miRNA interactions have perfect or partial seed complementarity. ...
https://www.mdc-berlin.de/research/publications/unambiguous-identification-mirnatarget-site-interactions-different-types
VIII International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2012)VIII International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2012)
The Organizing committee of BGRS\SB-2012 cordially invites sponsorship for the conference, which will be held on June 25-29, 2012. We offer the different sponsorship opportunities.. For example, your organization or company name and logo will appear on BGRS\SB-2012 web-site. We can acknowledge your sponsorship in internationally distributed Proceedings of the conference. At the conference, providers of corporate sponsorship may have speakers, presentation booth, and so on…. If you wish to be sponsor or co-sponsor of BGRS\SB-2012, please contact us through e-mail [email protected] for more details.. ...
http://conf.nsc.ru/BGRSSB2012/en/for_sponsors
Find Research Outputs - SRUC, Scotlands Rural CollegeFind Research Outputs - SRUC, Scotlands Rural College
Wassan, J. T., Zheng, H., Wang, H., Browne, F., Walsh, P., Manning, T., Dewhurst, R. & Roehe, R., Nov 2019, Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. Yoo, I., Bi, J. & Hu, X. T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1900-1906 7 p. 8983040. (Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019).. Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review ...
https://pure.sruc.ac.uk/en/publications/?showAdvanced=false&allConcepts=true&inferConcepts=true&originalSearch=&improvedLayoutOrganisationUuid=&format=&ordering=title&descending=false&page=11
Functional genomic annotation with paraconsistent logic through biological network - LABGeMFunctional genomic annotation with paraconsistent logic through biological network - LABGeM
One consequence of increasing sequencing capacity is the the accumulation of \textit{in silico} predictions in biological sequence databanks. This amount of data exceeds human curation capacity and, despite methodological progress, numerous errors on the prediction of protein functions are made. Therefore, tools are required to guide human expertise in the evaluation of bioinformatics predictions taking into account background knowledge on the studied organism.. GROOLS (for Genomic Rule Object-Oriented Logic System) is an expert system that is able to reason on incomplete and contradictory information. It was developed with the objective of assisting biologists in the process of genome functional annotation by integrating high quantity of information from various sources. GROOLS adopts a generic representation of knowledge using a directed acyclic graph of concepts that represent the different components of a biological process (e.g. a metabolic pathway) connected by two types of relations ...
https://labgem.genoscope.cns.fr/2017/03/23/functional-genomic-annotation-paraconsistent-logic-biological-network/
Subcellular localisation prediction - SIB Swiss Institute of Bioinformatics | ExpasySubcellular localisation prediction - SIB Swiss Institute of Bioinformatics | Expasy
Subcellular localisation prediction in high-quality scientific databases and software tools using Expasy, the Swiss Bioinformatics Resource Portal.
https://www.expasy.org/search/Subcellular%20localisation%20prediction?type=keyword
Bioinformatics & Computational BiologyBioinformatics & Computational Biology
Gaurav Kandoi, a BCB Ph.D. candidate in Julie Dickersons lab will be presenting a paper at a November 13-16 conference in Kansas City, Missouri. The paper is entitled, Differential alternative splicing patterns with differential expression to computationally extract plant molecular pathways.. The conference is the IEEE International Conference on Bioinformatics and Biomedicine, and Gaurav will present at one of the workshops associated with the conference entitled The 8th Integrative Data Analysis in Systems Biology. ...
http://www.bcb.iastate.edu
Servier: Head of Bioinformatics - CBGSEServier: Head of Bioinformatics - CBGSE
Head of Bioinformatics Employer Servier Location Croissy-sur-Seine, Chatou (FR) Salary Undisclosed Posted September 08 2016 Ref W-009249 Discipline Life Sciences, Bioinformatics Send Save Apply Head of Department Bioinformatics & Computational Biology. In order to successfully meet the challenges presented by large- scale omics data in biomedical research, we are actively seeking a highly motivated and experienced leader to head the Department of Bioinformatics & Computational Biology.. We indeed offer an exceptional opportunity, to further develop an existing team focused on analysis of genomics & proteomics data coupled with bioinformatics & computational analysis. The position is of highest importance to support biomarker, target discovery & validation and translational research in multiple therapeutic areas, notably oncology.. Our working spirit is based on entrepreneurship, collaboration, result orientation and communication.. Key roles and activities:. a team of bioinformaticians, you ...
http://cbgse.tamu.edu/jobs/servier-head-of-bioinformatics/
Supercomputing Facility for Bioinformatics & Computational Biology, IIT DelhiSupercomputing Facility for Bioinformatics & Computational Biology, IIT Delhi
We are the Providers of Genome Analysis Software , Protein structure prediction tool, In-sillico Drug design software, drug discovery, Bioinformatics, Bioinformatics, algorithms for Genome analysis, active site directed Drug Design, gene to drug, Bioinformatics and computational Biology facility, super computer access, research and development in bioinformatics, computational pathways for life sciences in India
http://www.scfbio-iitd.res.in/software/Bhageerath-HStrgen.jsp
PPT - Computational Genomics PowerPoint Presentation - ID:789334PPT - Computational Genomics PowerPoint Presentation - ID:789334
Computational Genomics. Lecture 1, Tuesday April 1, 2003. Biology in One Slide. High Throughput Biology. DNA Sequencing. …ACGTGACTGAGGACCGTG CGACTGAGACTGACTGGGT CTAGCTAGACTACGTTTTA TATATATATACGTCGTCGT ACTGATGACTAGATTACAG ACTGATTTAGATACCTGAC TGATTTTAAAAAAATATT…. High Throughput...
https://www.slideserve.com/valmai/computational-genomics
Posters - GCB 2013 - German Conference on Bioinformatics 2013Posters - GCB 2013 - German Conference on Bioinformatics 2013
Posters should be put on display on Wednesday, 11 September, in the morning. Tacks for putting up the posters will be provided onsite.. Posters will be presented during the poster session on Wednesday, 11 September.. ...
http://gcb2013.de/posters
Applied Computational Genomics | ZHAW Institute of Applied Simulation IASApplied Computational Genomics | ZHAW Institute of Applied Simulation IAS
The Applied Computational Genomics group focuses on theoretical and computational aspects of modelling the process of genome evolution and adaptive change.
https://www.zhaw.ch/en/lsfm/institutes-centres/ias/research-development/computational-genomics/?L=1
Bionews] BIRD 2008 call for postersBionews] BIRD 2008 call for posters
C a l l f o r P o s t e r s 2nd International Conference on Bioinformatics Research and Development BIRD08 www.birdconf.org Technical University of Vienna, Austria July 7 -- 9, 2008 Scope of the conference: The primary focus of BIRD 08 is to provide researchers and users in the field of bioinformatics a forum in which to interact about new research directions, developments, and software/web services. It encompasses the methods of solving biological, medical, or chemical problems by computer science, machine learning, or information processing tools. The conceptual level of the methods range from theoretical approaches through the design of algorithms, models, and information processing systems through to the development of software packages and web services. The program committee seeks contributions, which topics include, but are not limited to: . Algebraic Biology . Databases & Data Integration . Drug Design . Ontologies & Textmining . Evolution and Phylogenetics . Genomics . Gene and Splice ...
http://www.bio.net/bionet/mm/bionews/2007-July/006117.html
Schliep lab : PublicationsSchliep lab : Publications
Elastic registration in 3D volume data. R. Schilling. Masters Thesis, Universität Freiburg, 2007. [details] Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. I.G. Costa, M.C.P. de Souto and A. Schliep. In Advances in Bioinformatics and Computational Biology, Proceedings of the Brazilian Symposium on Bioinformatics, Springer Verlag, 81-92, 2007. [details] [pdf] Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data. I.G. Costa, R. Krause, L. Optiz and A. Schliep. BMC Bioinformatics 2007, 8, S3. [details] [pdf] [supp] [PubMed] Gene expression trees in lymphoid development. I. Costa, S. Roepcke and A. Schliep. BMC Immunol 2007, 8:1, 25 . [details] [pdf] [supp] [PubMed] Partially-supervised context-specific independence mixture modeling. B. Georgi and A. Schliep. In workshop on Data Mining in Functional Genomics and Proteomics, ECML 2007, 2007. [details] [pdf] Incomplete and inaccurate ...
https://schlieplab.org/Publications/
Search resultsSearch results
Description. This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks: gene expression analysis, regulatory motifs, graph algorithms, scale-free networks, network motifs, network evolution Evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory, rapid evolution This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We ...
http://solvonauts.org/?action=search&term=I&offset=2425
Computational biology - WikipediaComputational biology - Wikipedia
Computational Biology, which includes many aspects of bioinformatics, is the science of using biological data to develop algorithms or models to understand biological systems and relationships. Until recently, biologists did not have access to very large amounts of data. This data has now become commonplace, particularly in molecular biology and genomics. Researchers were able to develop analytical methods for interpreting biological information, but were unable to share them quickly among colleagues.[3] Bioinformatics began to develop in the early 1970s. It was considered the science of analyzing informatics processes of various biological systems. At this time, research in artificial intelligence was using network models of the human brain in order to generate new algorithms. This use of biological data to develop other fields pushed biological researchers to revisit the idea of using computers to evaluate and compare large data sets. By 1982, information was being shared among researchers ...
https://en.wikipedia.org/wiki/Computational_biology
Journal of Integrative Bioinformatics Volume 1 Issue 1Journal of Integrative Bioinformatics Volume 1 Issue 1
Non-coding RNAs (ncRNAs) contain both characteristic secondary-structure and short sequence motifs. However, complex ncRNAs (RNA bound to proteins in ribonucleoprotein complexes) can be hard to identify in genomic sequence data. Programs able to search for ncRNAs were previously limited to ncRNA molecules that either align very well or have highly conserved secondary-structure. The RNAmotif program uses additional information to find ncRNA gene candidates through the design of an appropriate descriptor to model sequence motifs, secondary-structure and protein/RNA binding information. This enables searches of those ncRNAs that contain variable secondary-structure and limited sequence motif information. Applying the biologically-based concept of positive and negative controls to the RNAmotif search technique, we can now go beyond the testing phase to successfully search real genomes, complete with their background noise and related molecules. Descriptors are designed for two complex ...
https://www.degruyter.com/journal/key/JIB/1/1/html
Community Academic Profiles - Faculty & Researchers - Stanford MedicineCommunity Academic Profiles - Faculty & Researchers - Stanford Medicine
I joined Stanford in Oct 2012 as the Director of Bioinformatics at Stanford Center for Genomics and Personalized Medicine (SCGPM). My responsibility at the Center was to develop and lead the bioinformatics team and establish a genomics data analysis facility. Currently, SCGPM bioinformatics team is comprised of a dozen scientists and software engineers. The team has a wide range of skill sets including omics, computational biology, machine learning, software engineering, data management, Databases, Visualization, High Performance Computing, IT, and Cloud DevOps. The team is currently supporting several large scale research and clinical programs at Stanford including prestigious consortium efforts and inter-disciplinary collaborations. The team also supports Genetics Bioinformatics Service Center (2013-), a facility that provides best-in-class high performance computational systems, scalable Cloud computing and cutting edge bioinformatics services for the Stanford community. ...
https://med.stanford.edu/profiles/pulmonary/browse?p=1&org=school-of-medicine/deans-office&ps=100
Plos computational biology News - Latest plos computational biology News, Information & Updates - Health News -ET HealthWorldPlos computational biology News - Latest plos computational biology News, Information & Updates - Health News -ET HealthWorld
ETHealthworld.com brings latest plos computational biology news, views and updates from all top sources for the Indian Health industry.
https://health.economictimes.indiatimes.com/tag/plos+computational+biology/news
Global Computational Biology Market - Transparency Market ResearchGlobal Computational Biology Market - Transparency Market Research
Global computational biology market reach a valuation of US$2.9 bn by 2018, rising rapidly from its 2011 valuation of US$0.7 bn, moreover the computational biology market will expand at a 21.30% CAGR worldwide
https://www.transparencymarketresearch.com/pressrelease/global-computational-biology.htm
Bulk RNA-Seq Analysis on NIDAP | Bioinformatics Training and Education ProgramBulk RNA-Seq Analysis on NIDAP | Bioinformatics Training and Education Program
This course will teach you the basics of how to perform Bulk RNA-Seq Analysis on NIDAP. The course consists of recorded lectures and video tutorials, with a live Discussion webinar you will attend after completing the tutorials. Click here for Details & Registration. ...
https://btep.ccr.cancer.gov/events/nidap_20201029/
Overview Bioinformatics & Computational Biology Program - Graduate School of Biomedical Sciences UMass WorcesterOverview Bioinformatics & Computational Biology Program - Graduate School of Biomedical Sciences UMass Worcester
Study Bioinformatics & Computational Biology focus on development and application of computational and mathematical models using high-throughput genomic and proteomic data
https://umassmed.edu/gsbs/prospective-students/bioinformatics--computational-biology/program-overview/
Computational Discovery of Splicing Events from High-Throughput Omics Data | SummitComputational Discovery of Splicing Events from High-Throughput Omics Data | Summit
The splicing mechanism, the process of forming mature messenger RNA (mRNA) by only concatenating exons and removing introns, is an essential step in gene expression. It allows a single gene to have multiple RNA isoforms which potentially code different proteins. In addition, aberrant transcripts generated from non-canonical splicing events (e.g. gene fusions) are believed to be potential drivers in many tumor types and human diseases. Thus, identification and quantification of expressed RNAs from RNA-Seq data become fundamental steps in many clinical studies. For that reason, number of methods have been developed. Most popular computational methods designed for these high-throughput omics data start by analyzing the datasets based on existing gene annotations. However, these tools (i) do not detect novel RNA isoforms and low abundance transcripts; (ii) do not incorporate multi-mapping reads in their read counting strategies in quantifications; (iii) are sensitive to sequencing artifacts. In this ...
http://summit.sfu.ca/item/17618
HistoneHistone
"PLOS Computational Biology. 13 (1): e1005365. Bibcode:2017PLSCB..13E5365B. doi:10.1371/journal.pcbi.1005365. PMC 5305278. PMID ... Journal of Computational Biology. 13 (1): 102-12. doi:10.1089/cmb.2006.13.102. PMID 16472024.. ... "Molecular and Cellular Biology. 22 (5): 1298-306. doi:10.1128/MCB.22.5.1298-1306.2002. PMC 134702. PMID 11839797.. ... "Molecular and Cellular Biology. 23 (5): 1590-601. doi:10.1128/MCB.23.5.1590-1601.2003. PMC 151715. PMID 12588979.. ...
https://en.wikipedia.org/wiki/Histone_modification
EpistasisEpistasis
It was originally a concept from genetics but is now used in biochemistry, computational biology and evolutionary biology. It ... "PLoS Computational Biology. 7 (12): e1002302. arXiv:1108.3590. Bibcode:2011PLSCB...7E2302L. doi:10.1371/journal.pcbi.1002302. ... "Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. BCB '14. New York, NY, ... Computational prediction[edit]. Numerous computational methods have been developed for the detection and characterization of ...
https://en.wikipedia.org/wiki/Epistasis
David EisenbergDavid Eisenberg
ISCB (International Society for Computational Biology) Senior Scientist Award (2013). References[edit]. *^ Fogg, C. N.; Kovats ... "PLoS Computational Biology. 9 (6): e1003116. doi:10.1371/journal.pcbi.1003116. PMC 3681620 .. ... Member, National Academy of Sciences (1989; Biophysics & Computational Biology section). *Pierce Award of the Immunotoxin ... Eisenberg's current research focuses on the structural biology of amyloidogenic proteins, while his computational efforts ...
https://en.wikipedia.org/wiki/David_Eisenberg
Dual inheritance theoryDual inheritance theory
PLOS Computational Biology. 5 (8): e1000491. doi:10.1371/journal.pcbi.1000491. ISSN 1553-7358. PMC 2722739 . PMID 19714206. ... Culture is part of human biology: Why the superorganic concept serves the human sciences badly. In M. Goodman and A. S. Moffat( ... Culture is Part of Human Biology: Why the Superorganic Concept Serves the Human Sciences Badly. In Science Studies: Probing the ... Cultural drift is a process roughly analogous to genetic drift in evolutionary biology. In cultural drift, the frequency of ...
https://en.wikipedia.org/wiki/Dual_inheritance_theory
Aminoacyl tRNA synthetaseAminoacyl tRNA synthetase
PLoS Computational Biology. 14 (4): e1006101. doi:10.1371/journal.pcbi.1006101. PMID 29659563.. ... "Microbiology and Molecular Biology Reviews. 64 (1): 202-36. doi:10.1128/MMBR.64.1.202-236.2000. PMC 98992. PMID 10704480.. ... Delarue, M (1995). "Aminoacyl-tRNA synthetases". Structural Biology. 5: 48-55.. *^ "Molecule of the Month: Aminoacyl-tRNA ... Molecular Cell Biology. 11 (9): 668-74. doi:10.1038/nrm2956. PMC 3042954. PMID 20700144.. ...
https://en.wikipedia.org/wiki/Aminoacyl_tRNA_synthetase
NMDA receptorNMDA receptor
"PLOS Computational Biology. 11 (12): e1004559. Bibcode:2015PLSCB..11E4559B. doi:10.1371/journal.pcbi.1004559. PMC 4670163. PMID ... "In Van Dongen AM (ed.). Biology of the NMDA Receptor. Boca Raton, Florida: CRC Press. ISBN 978-1-4200-4414-0. . PMID 21204415. ... "The chemical biology of clinically tolerated NMDA receptor antagonists". Journal of Neurochemistry. 97 (6): 1611-1626. doi ...
https://en.wikipedia.org/wiki/NMDA_receptor
Mark MiodownikMark Miodownik
"PLoS Computational Biology. 4 (3): e1000030. Bibcode:2008PLSCB...4E0030B. doi:10.1371/journal.pcbi.1000030. PMC 2274883. PMID ... Physical Biology. 6 (1): 016010. Bibcode:2009PhBio...6a6010C. doi:10.1088/1478-3975/6/1/016010. PMID 19342769.. ...
https://en.wikipedia.org/wiki/Mark_Miodownik
Allosteric regulationAllosteric regulation
"PLOS Computational Biology. 7 (9): e1002148. doi:10.1371/journal.pcbi.1002148. ISSN 1553-7358. PMC 3174156 . PMID 21935347.. ... "Advances in Protein Chemistry and Structural Biology. Advances in Protein Chemistry and Structural Biology. 83: 163-221. doi: ... Nature Structural Biology. 10 (1): 59-69. doi:10.1038/nsb881. ISSN 1072-8368. PMID 12483203.. ...
https://en.wikipedia.org/wiki/Homotropic_allosteric_interaction
Synaptic weightSynaptic weight
"PLOS Computational Biology. 9 (10): e1003248. Bibcode:2013PLSCB...9E3248I. doi:10.1371/journal.pcbi.1003248. PMC 3808453. PMID ... In a computational neural network, a vector or set of inputs x. {\displaystyle {\textbf {x}}}. and outputs y. {\displaystyle {\ ... Biology[edit]. For biological networks, the effect of synaptic weights is not as simple as for linear neurons or Hebbian ... corresponding in biology to the amount of influence the firing of one neuron has on another. The term is typically used in ...
https://en.wikipedia.org/wiki/Synaptic_weight
Peregrine falconPeregrine falcon
"PLOS Computational Biology. 14 (4): e1006044. Bibcode:2018PLSCB..14E6044M. doi:10.1371/journal.pcbi.1006044. PMC 5896925. PMID ... "Journal of Experimental Biology. 223 (Pt 1): jeb209031. doi:10.1242/jeb.209031. PMID 31822552. S2CID 209313631. Retrieved 6 ... Blondel, J.; Aronson, J. (1999). Biology and Wildlife of the Mediterranean Region. Oxford University Press. p. 136. ISBN 978-0- ... Brown, L. (1976). Birds of Prey: Their biology and ecology. Hamlyn. p. 226. ISBN 978-0-600-31306-9. .. ...
https://en.wikipedia.org/wiki/Peregrine_falcon
MenopauseMenopause
"PLOS Computational Biology. 9 (6): e1003092. Bibcode:2013PLSCB...9E3092M. doi:10.1371/journal.pcbi.1003092. PMC 3681637. PMID ... a b Lock, M. & Nguyen, V. (2010) An Anthropology of Biomedicine, Chapter 4 "Local Biologies and Human Difference" (pp. 84-89), ... "Biology of Reproduction. 79 (3): 398-406. doi:10.1095/biolreprod.108.068536. PMC 2553520. PMID 18495681.. ... "Current Biology. 25 (6): 746-750. doi:10.1016/j.cub.2015.01.037. PMID 25754636. S2CID 3488959.. ...
https://en.wikipedia.org/wiki/Menopausal_symptoms
Eugene KooninEugene Koonin
From 1985-1991, Koonin worked as a research scientist in computational biology in the Institutes of Poliomyelitis and ... "Are There Laws of Genome Evolution?". PLOS Computational Biology. 7 (8): e1002173. doi:10.1371/journal.pcbi.1002173. Koonin, E ... Koonin gained a Master of Science in 1978 and a PhD in 1983 in molecular biology, both from the Department of Biology at Moscow ... He is a recognised expert in the field of evolutionary and computational biology. ...
https://en.wikipedia.org/wiki/Eugene_Koonin
Multiple sequence alignmentMultiple sequence alignment
"PLOS Computational Biology. 3 (8): e123. doi:10.1371/journal.pcbi.0030123. PMC 1963500. PMID 17784778.. ... "European Molecular Biology Laboratory. 2007. Retrieved March 7, 2010.. *^ Castresana J (April 2000). "Selection of conserved ... Expressed with the big O notation commonly used to measure computational complexity, a naïve MSA takes O(LengthNseqs) time to ... Dynamic programming and computational complexity[edit]. A direct method for producing an MSA uses the dynamic programming ...
https://en.wikipedia.org/wiki/Multiple_Sequence_Alignment
Herd immunityHerd immunity
"PLoS Computational Biology. 5 (2): e1000280. doi:10.1371/journal.pcbi.1000280. PMC 2625434. PMID 19197342.. ...
https://en.wikipedia.org/wiki/Herd_immunity
Sequence homologySequence homology
"PLoS Computational Biology. 6 (3): e1000703. doi:10.1371/journal.pcbi.1000703. PMC 2845645. PMID 20361041.. ... "PLoS Computational Biology. 11 (7): e1004394. doi:10.1371/journal.pcbi.1004394. PMC 4504502. PMID 26181593.. ... "PLoS Computational Biology. 7 (6): e1002073. doi:10.1371/journal.pcbi.1002073. PMC 3111532. PMID 21695233.. ... "PLoS Computational Biology. 10 (7): e1003754. doi:10.1371/journal.pcbi.1003754. PMC 4117431. PMID 25080083.. ...
https://en.wikipedia.org/wiki/Orthologous_gene
HIV/AIDS researchHIV/AIDS research
"PLOS Computational Biology. 11 (4): e1004179. arXiv:1503.08992. Bibcode:2015PLSCB..11E4179Z. doi:10.1371/journal.pcbi.1004179. ...
https://en.wikipedia.org/wiki/HIV/AIDS_research
Promoter (genetics)Promoter (genetics)
"PLoS Computational Biology. 3 (4): e72. Bibcode:2007PLSCB...3...72Y. doi:10.1371/journal.pcbi.0030072. PMC 1853124. PMID ... BMC Systems Biology. 5: S2. doi:10.1186/1752-0509-5-S1-S2.. ...
https://en.wikipedia.org/wiki/Promoter_
Enzyme promiscuityEnzyme promiscuity
"PLoS Computational Biology. 2 (6): e69. Bibcode:2006PLSCB...2...69W. doi:10.1371/journal.pcbi.0020069. PMC 1480538 . PMID ... "Molecular Biology and Evolution. 24 (12): 2716-22. doi:10.1093/molbev/msm204. PMC 2678898 . PMID 17884825.. ... "BMC Evolutionary Biology. 7 Suppl 2: S3. doi:10.1186/1471-2148-7-S2-S3. PMC 1963480 . PMID 17767731.. ... "PLoS Biology. 10 (12): e1001446. doi:10.1371/journal.pbio.1001446. PMC 3519909 . PMID 23239941.. ...
https://en.wikipedia.org/wiki/Enzyme_promiscuity
RNA splicingRNA splicing
"PLoS Computational Biology. 6 (11): e1001016. Bibcode:2010PLSCB...6E1016C. doi:10.1371/journal.pcbi.1001016. PMC 2991248. PMID ... "PLOS Computational Biology. 9 (11): e1003314. Bibcode:2013PLSCB...9E3314E. doi:10.1371/journal.pcbi.1003314. PMC 3820534. PMID ... "Nature Structural & Molecular Biology. 19 (7): 719-21. doi:10.1038/nsmb.2327. PMC 3465671. PMID 22705790.. ... "Molecular Biology of the Cell". 2012 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2013.. ...
https://en.wikipedia.org/wiki/Splicing_
MicrobiotaMicrobiota
"PLoS Computational Biology. 6 (2): e1000667. Bibcode:2010PLSCB...6E0667W. doi:10.1371/journal.pcbi.1000667. PMC 2829047 . PMID ... Current Biology. 18 (13): R567-9. doi:10.1016/j.cub.2008.05.024.. ... Current Opinion in Plant Biology. 4 (4): 343-350. doi:10.1016/S1369-5266(00)00183-7. PMID 11418345.. ... This combinatorial approach enables a systems-level understanding of microbial contributions to human biology.[27] But also ...
https://en.wikipedia.org/wiki/Microbiome
TensegrityTensegrity
"PLoS Computational Biology. 8 (5): e1002509. Bibcode:2012PLSCB...8E2509E. doi:10.1371/journal.pcbi.1002509. PMC 3349725. PMID ... Biology[edit]. Biotensegrity, a term coined by Dr. Stephen Levin, is the application of tensegrity principles to biologic ... Series in Mathematical Biology and Medicine. 3. doi:10.1142/2755. ISBN 978-981-02-2268-0. .. ... A theory of tensegrity in molecular biology to explain cellular structure has been developed by Harvard physician and scientist ...
https://en.wikipedia.org/wiki/Tensegrity
rDockrDock
"PLoS Computational Biology. 10 (4): e1003571. Bibcode:2014PLSCB..10E3571R. doi:10.1371/journal.pcbi.1003571. PMC 3983074. PMID ...
https://en.wikipedia.org/wiki/RDock
Erdős-Bacon numberErdős-Bacon number
"PLoS Computational Biology. 4 (5): e1000058. doi:10.1371/journal.pcbi.1000058. PMC 2275312 . PMID 18404205.. ... "PLoS Computational Biology. 1 (5): e50. doi:10.1371/journal.pcbi.0010050. PMC 1274291 . PMID 16261192.. ... "Current Biology. 21 (8): 677-80. doi:10.1016/j.cub.2011.03.017. PMC 3092984 . PMID 21474316.. ... "Discrete & Computational Geometry. 4 (1): 287-290. doi:10.1007/BF02187731. Retrieved 28 January 2016.. ...
https://en.wikipedia.org/wiki/Erdos-Bacon_number
Default mode networkDefault mode network
"PLoS Computational Biology. 5 (5): e1000381. doi:10.1371/journal.pcbi.1000381. PMC 2671306. PMID 19412534.. ...
https://en.wikipedia.org/wiki/Default_mode_network
Ribosomal proteinRibosomal protein
"PLoS Computational Biology. 2 (2): e10. doi:10.1371/journal.pcbi.0020010. PMC 1364506 . PMID 16485038.. ... "Journal of Molecular Biology. 425 (4): 767-79. doi:10.1016/j.jmb.2012.11.040. PMC 3568210 . PMID 23228329.. ... "Current Opinion in Structural Biology. 24: 165-9. doi:10.1016/j.sbi.2014.01.002. PMC 4358319 . PMID 24524803.. ... Methods in Molecular Biology. 1279. pp. 219-33. doi:10.1007/978-1-4939-2398-4_14. ISBN 978-1-4939-2397-7. PMID 25636622.. ...
https://en.wikipedia.org/wiki/Ribosomal_proteins
Storage (memory)Storage (memory)
"PLoS Computational Biology. 11 (11): e1004592. doi:10.1371/journal.pcbi.1004592.. *^ a b Moore, T. (n.d.). Rehearsal. Retrieved ... Gallistel, C.R.; King (2009). Memory and the computational brain: why cognitive science will transform neuroscience. Wiley- ... computational searches for similarity against millions of traces that would be present in memory matrix to calculate similarity ... remains as one of the most influential computational models of memory. The model uses both short-term memory, termed short-term ...
https://en.wikipedia.org/wiki/Storage_(memory)
Granger causalityGranger causality
"PLoS Computational Biology. 7 (3): e1001110. Bibcode:2011PLSCB...7E1110K. doi:10.1371/journal.pcbi.1001110. PMC 3063721. PMID ... it remains a popular method for causality analysis in time series due to its computational simplicity.[4][5] The original ...
https://en.wikipedia.org/wiki/Granger_causality
Protein subcellular localization predictionProtein subcellular localization prediction
Computational Molecular Biology. 4 (1): 1-17. doi:10.5376/cmb.2014.04.0001.. ... Journal of Molecular Biology. 283 (4): 707-25. doi:10.1006/jmbi.1998.2144. PMID 9790834.. ... computational tools can now provide fast and accurate localization predictions for many organisms. This has resulted in ... "Assessing the precision of high-throughput computational and laboratory approaches for the genome-wide identification of ...
https://en.wikipedia.org/wiki/Protein_subcellular_localization_prediction
Talk:WormBaseTalk:WormBase
Computational BiologyWikipedia:WikiProject Computational BiologyTemplate:WikiProject Computational BiologyComputational Biology ... This article is within the scope of WikiProject Computational Biology, a collaborative effort to improve the coverage of ... WikiProject Computational Biology. (Rated Start-class, Mid-importance). ... Computational Biology on Wikipedia. If you would like to participate, please visit the project page, where you can join the ...
https://en.wikipedia.org/wiki/Talk:WormBase
Circadian clockCircadian clock
"PLoS Computational Biology. 3 (4): e68. Bibcode:2007PLSCB...3...68B. doi:10.1371/journal.pcbi.0030068. PMC 1851983. PMID ... Systems biology approaches to elucidate oscillating mechanisms[edit]. Modern experimental approaches using systems biology have ... Loudon AS (Jul 2012). "Circadian biology: a 2.5 billion year old clock". Current Biology. 22 (14): R570-1. doi:10.1016/j.cub. ... "PLoS Biology. 8 (6): e1000394. doi:10.1371/journal.pbio.1000394. PMC 2885980. PMID 20563306.. ...
https://en.wikipedia.org/wiki/Circadian_clock
Computational neuroscienceComputational neuroscience
arXiv:q-bio/0512013. Bibcode:2006Natur.440.1007S. doi:10.1038/nature04701. PMC 1785327. PMID 16625187.. ... Computational clinical neuroscience[edit]. Computational Clinical Neuroscience is a field that brings together experts in ... In theory, computational neuroscience would be a sub-field of theoretical neuroscience which employs computational simulations ... Annual Computational Neuroscience Meeting (CNS)- a yearly computational neuroscience meeting.. *Neural Information Processing ...
https://en.wikipedia.org/wiki/Computational_neuroscientist
Alternative medicineAlternative medicine
Note that as used here, "biology" does not refer to the science of biology, but is a usage newly coined by NCCIH in the primary ... They quoted one of these scientists, Steven Salzberg, a genome researcher and computational biologist at the University of ... is that part of medical science that applies principles of biology, physiology, molecular biology, biophysics, and other ... "Biology-based" as coined by NCCIH may refer to chemicals from a nonbiological source, such as use of the poison lead in ...
https://en.wikipedia.org/wiki/Integrative_medicine
QIAGEN Silicon ValleyQIAGEN Silicon Valley
... and is purchased by QIAGEN in May of the same year Systems biology Bioinformatics Computational genomics Computational biology ... The software has been cited in thousands of scientific molecular biology publications and is one of several tools for systems ... "Best of Show: Life Science Software & Informatics". Bio-IT World. June 13, 2007. Retrieved April 7, 2012. "Ingenuity Systems ... "Stanford University Licenses IPA, Collaborates on Systems Biology Solutions" (Press release). Ingenuity Systems. November 3, ...
https://en.wikipedia.org/wiki/QIAGEN_Silicon_Valley
Positron emission tomographyPositron emission tomography
Computational Imaging VIII. 7533: 75330R. Bibcode:2010SPIE.7533E..0RH. CiteSeerX 10.1.1.175.3054. doi:10.1117/12.850771.. ... "Magnetic Resonance Materials in Physics, Biology and Medicine. 26 (1): 99-113. doi:10.1007/s10334-012-0353-4. ISSN 0968-5243. ... Qi, J.; R. Leahy (2006). "Iterative reconstruction techniques in emission computed tomography". Physics in Medicine and Biology ... PET and SPECT are capable of detecting areas of molecular biology detail (even prior to anatomic change). PET scanning does ...
https://en.m.wikipedia.org/wiki/PET_scan
LeafLeaf
"PLoS Computational Biology. 4 (4): e1000055. arXiv:0705.0902. Bibcode:2008PLSCB...4E0055L. doi:10.1371/journal.pcbi.1000055. ... "School of Biology, Georgia Institute of Technology. Retrieved 12 March 2017.. *. Geneve, Robert. "Leaf" (PDF). PLS 220: ... "Basic Biology. Adam Purcell. Retrieved 17 February 2017.. *. Simpson, Michael G. "Plants of San Diego County, California". ... Journal of Theoretical Biology. 259 (3): 440-448. doi:10.1016/j.jtbi.2009.05.002. PMID 19446571.. ...
https://en.m.wikipedia.org/wiki/Cauline
OctopusOctopus
"The Journal of Experimental Biology. 198: 1717-1727. PMID 9319626.. *^ a b Wells, J. (1996). "Cutaneous respiration in Octopus ... "Frontiers in Computational Neuroscience. doi:10.3389/fncom.2013.00060. PMC 3662989 . PMID 23745113.. ... Department of Biology, University of Victoria (Canada), 101 pp.. *^ Norman, M. 2000. Cephalopods: A World Guide. ConchBooks, ... "Journal of Experimental Biology. 209: 3697-3707. doi:10.1242/jeb.02435. PMID 16985187. Retrieved 4 February 2014.. ...
https://en.wikipedia.org/wiki/Octopoda
EA-3167EA-3167
Cilj je bio da se razvije neletalno onesposobljavajuće sredstvo. EA-3167 je imao identično dejstvo kao i QNB, ali je bio ... Annual Reports in Computational Chemistry 4: 217-241. doi:10.1016/S1574-1400(08)00012-1. ... EA-3167 nije bio razvijen u oružje, niti proizvođen u velikim količinama. ...
https://sh.wikipedia.org/wiki/EA-3167
Computer graphics (computer science)Computer graphics (computer science)
Computational mathematics. *Computational physics. *Computational chemistry. *Computational biology. *Computational social ... It focuses on the mathematical and computational foundations of image generation and processing rather than purely aesthetic ... Computer graphics studies the manipulation of visual and geometric information using computational techniques. ...
https://en.wikipedia.org/wiki/Computer_graphics_
ReptileReptile
"Biology Letters. 8 (1): 104-107. doi:10.1098/rsbl.2011.0477. PMC 3259949. PMID 21775315.. CS1 maint: uses authors parameter ( ... a computational analysis". Canadian Journal of Zoology. 81 (8): 1346-1357. doi:10.1139/z03-122.. ... Biology Letters. 6 (4): 544-547. doi:10.1098/rsbl.2009.1024. PMC 2936204. PMID 20106856.. CS1 maint: multiple names: authors ... Goannas: The Biology of Varanid Lizards. University of New South Wales Press. ISBN 978-0-86840-456-1, p. 43. ...
https://en.m.wikipedia.org/wiki/Reptile
List of inorganic compoundsList of inorganic compounds
Chemical biology. *Clinical chemistry. *Fullerene chemistry. *Medicinal chemistry. *Molecular biology. *Neurochemistry. * ...
https://en.wikipedia.org/wiki/List_of_inorganic_compounds
Chemical engineeringChemical engineering
Engineering the Future of Biology and Biotechnology, Rice University, archived from the original on 2010-07-25, retrieved 2011- ... Chemical engineering is a branch of engineering that uses principles of chemistry, physics, mathematics, biology, and economics ... Computational fluid dynamics. *Corrosion engineering. *Cost estimation. *Electrochemistry. *Electrochemical engineering. * ...
https://en.m.wikipedia.org/wiki/Chemical_engineering
MineralogyMineralogy
Biomineralogy is a cross-over field between mineralogy, paleontology and biology. It is the study of how plants and animals ... More recently, driven by advances in experimental technique (such as neutron diffraction) and available computational power, ...
https://en.wikipedia.org/wiki/Mineralogist
Field Museum of Natural HistoryField Museum of Natural History
"CEB, Committee on Evolutionary Biology, University of Chicago, Faculty (Field Museum)".. *^ "University of Illinois at Chicago ... "A Computational Analysis of Limb and Body Dimensions in Tyrannosaurus rex with Implications for Locomotion, Ontogeny, and ... Since its founding the Field Museum has been an international leader in evolutionary biology and paleontology, and archaeology ... environmental and evolutionary biology, anthropology, botany, geology, archaeology, museology and related subjects.[citation ...
https://en.wikipedia.org/wiki/Field_Museum
Swarm intelligenceSwarm intelligence
"Frontiers in Computational Neuroscience. 9 (90). doi:10.3389/fncom.2015.00090.. *^ a b al-Rifaie, MM; Bishop, J.M.; Caines, S ... Agent-based model in biology. *Bait ball. *Collective animal behavior. *Feeding frenzy ... "Computational Intelligence. 4: 10-19. doi:10.1109/MCI.2009.933096.. *^ du Castel, Bertrand (15 July 2015). "Pattern Activation/ ... The "computational creativity" of the above-mentioned systems are discussed in[40][44][45] through the two prerequisites of ...
https://en.wikipedia.org/wiki/Swarm_Intelligence
Bioinformática, a enciclopedia libreBioinformática, a enciclopedia libre
Michael S. Waterman (1995). Introduction to Computational Biology: Sequences, Maps and Genomes (en inglés). CRC Press. ISBN 0- ... redirixe ao termo Bioinformatics a definición de Computational biology. *↑ Un exemplo da utilización como sinónimos de ... Foundations of Computational and Systems Biology MIT Course. *Bioinformatics software resources. Gilbert, D. Briefings in ... Pevzner, Pavel A. (2000). Computational Molecular Biology: An Algorithmic Approach (en inglés). The MIT Press. ISBN 0-262-16197 ...
https://gl.wikipedia.org/wiki/Bioloxía_computacional
Wikipedia:WikiProject Molecular Biology/Computational Biology/ISCB competition announcement 2015Wikipedia:WikiProject Molecular Biology/Computational Biology/ISCB competition announcement 2015
Wikipedia:WikiProject Molecular Biology‎ , Computational Biology (Redirected from Wikipedia:WikiProject Computational Biology/ ... Articles should be chosen in the area of computational biology. The Computational Biology WikiProject have selected over 1,200 ... A list of articles within scope of Computational Biology ordered by quality is available via Category:Computational Biology ... Relatedness to Computational biology will be assumed as demonstrated *for Wikidata items *if they link to a page on the English ...
https://en.m.wikipedia.org/wiki/Wikipedia:WikiProject_Computational_Biology/ISCB_competition_announcement_2015
Materials scienceMaterials science
Efforts surrounding Integrated computational materials engineering are now focusing on combining computational methods with ... Wide range, e.g., claytronics, synthetic biology Quantum dots Research, experiments, prototypes[26]. LCD, LED Quantum dot laser ... Nanoscale structure in biology is often called ultrastructure. Materials which atoms and molecules form constituents in the ... Computational materials science and engineeringEdit. With continuing increases in computing power, simulating the behavior of ...
https://en.m.wikipedia.org/wiki/Materials_science
EconomicsEconomics
"Agent-Based Computational Economics: Growing Economies from the Bottom Up" (PDF). Artificial Life. 8 (1): 55-82. CiteSeerX ... and evolutionary biology.[94] ... See Agent-based computational economics *^ Interest payments ...
https://en.wikipedia.org/wiki/Economics
Theodore Holmes BullockTheodore Holmes Bullock
One reason for his move to UCSD was that he hoped to bridge the gap between Marine Biology and medicine. ... studies on nerve nets lead him to be one of the first experimentalists to understand the value and importance of computational ... During this time he also studied marine biology and other courses at the Pomona College Marine Biological Laboratory. He ... Bullock was a respected teacher who taught many courses while at UCLA, such as zoology and advanced invertebrate biology. He ...
https://en.wikipedia.org/wiki/Theodore_Holmes_Bullock
Ron McClamrockRon McClamrock
Existential Cognition: Computational Minds in the World. University of Chicago Press. 1995. ... However, unlike the continental philosophers, McClamrock relies upon results from modern information sciences, biology and ... His position is that the methodological individualism inherent in many contemporary forms of computational theories of the mind ...
https://en.wikipedia.org/wiki/Ron_McClamrock
Tyrannosaurus - Simple English Wikipedia, the free encyclopediaTyrannosaurus - Simple English Wikipedia, the free encyclopedia
Hutchinson J.R. et al (2011). "A computational analysis of limb and body dimensions in Tyrannosaurus rex with implications for ... Research is done on its biology, life history and biomechanics. The feeding habits, physiology and potential speed of ... "Historical Biology: A Journal of Paleobiology 16 (1): 1-12. doi:10.1080/0891296021000050755. http://www.ingentaconnect.com/ ...
https://simple.wikipedia.org/wiki/Tyrannosaurus_rex
ArchaeaArchaea
Madigan MT; Martino JM (2006). Brock Biology of Microorganisms (11th ed.). Pearson. p. 136. ISBN 0-13-196893-9.. ... "A putative RNA-interference-based immune system in prokaryotes: computational analysis of the predicted enzymatic machinery, ... Garrett RA; Klenk H (2005). Archaea: Evolution, Physiology and Molecular Biology. WileyBlackwell. ISBN 1-4051-4404-1.. ... Biology defines a species as a group of related organisms. The familiar exclusive breeding criterion (organisms that can breed ...
https://en.m.wikipedia.org/wiki/Archaea
Cold Spring Harbor LaboratoryCold Spring Harbor Laboratory
Cell biology and genomics. RNA interference (RNAi) and small-RNA biology; DNA replication; RNA splicing; signal transduction; ... computational genomics; cloud computing and Big Data. ... doctoral students in biology, teachers of biology in the K-12 ... Horace Freedland Judson, The Eighth Day of Creation: The Makers of the Revolution in Biology (Simon & Schuster, 1979), esp. pp ... "Plant Biology - Cold Spring Harbor Laboratory". Cold Spring Harbor Laboratory. Retrieved 2018-08-08.. ...
https://en.wikipedia.org/wiki/Cold_Spring_Harbor_Laboratory
Mind-wanderingMind-wandering
"PLOS Biology. 3 (5): e141. doi:10.1371/journal.pbio.0030141. PMC 1074751. PMID 15819609.. ... In addition to neural models, computational models of consciousness based on Bernard Baars' Global Workspace theory[32][page ...
https://en.wikipedia.org/wiki/Mind-wandering
Arqueas, a enciclopedia libreArqueas, a enciclopedia libre
2008). Archaea: New Models for Prokaryotic Biology (en inglés). Caister Academic Press. ISBN 978-1-904455-27-1.. ... "A putative RNA-interference-based immune system in prokaryotes: computational analysis of the predicted enzymatic machinery, ... Garrett, RA; Klenk, H (2005). Archaea: Evolution, Physiology and Molecular Biology (en inglés). WileyBlackwell. ISBN 1-4051- ... Martinko, JM; Madigan, MT (2005). Brock Biology of Microorganisms (en inglés) (11th ed.). Englewood Cliffs, N.J: Prentice Hall ...
https://gl.wikipedia.org/wiki/Archaea
ವಂಶವಾಹಿ - ವಿಕಿಪೀಡಿಯವಂಶವಾಹಿ - ವಿಕಿಪೀಡಿಯ
PLOS Computational Biology 8 (5): e1002514. doi:10.1371/journal.pcbi.1002514. PMID 22615551. ... Patterson, C (November 1988). "Homology in classical and molecular biology.". Molecular Biology and Evolution 5 (6): 603-25. ... A molecular biology textbook available free online through NCBI Bookshelf. *↑ Slack, J.M.W. Genes-A Very Short Introduction. ... Watson, JD, Baker TA, Bell SP, Gann A, Levine M, Losick R. (2004). "Ch9-10", Molecular Biology of the Gene, 5th ed., Peason ...
https://kn.wikipedia.org/wiki/ವಂಶವಾಹಿ
DoksazosinDoksazosin
Marta 2000, ALLHAT studija je zaustavila svoja ispitivanja, jer je doksazosin bio manje efektivan od jednostavnih diuretika, i ... Annual Reports in Computational Chemistry 4: 217-241. doi:10.1016/S1574-1400(08)00012-1. ...
https://sh.wikipedia.org/wiki/Doksazosin
Antonio DamasioAntonio Damasio
"Current Biology. 21 (1): 1-5. doi:10.1016/j.cub.2010.11.042. PMC 3030206. PMID 21167712.. ... Current work on the biology of moral decisions, neuro-economics, social communication, and drug-addiction, has been strongly ... In it, Damasio suggested that the philosopher Baruch Spinoza's thinking foreshadowed discoveries in biology and neuroscience ... "Investigating the biology of consciousness". Philosophical Transactions of the Royal Society of London. Series B: Biological ...
https://en.wikipedia.org/wiki/Antonio_Damasio
Royal Society of New South WalesRoyal Society of New South Wales
Biology and paleobiology. 2009. Professor Archer is a distinguished biologist and palaeobiologist. He was one of the key ... Computational and theoretical quantum chemistry 2010 Professor Hush was one of Australia's most distinguished and ... Professor Warren is a distinguished pathologist whose research interests concerned tumour biology and thrombosis. ... internationally renowned chemists with outstanding achievements in computational and theoretical quantum chemistry. ...
https://en.m.wikipedia.org/wiki/Royal_Society_of_New_South_Wales
Computational biology - WikipediaComputational biology - Wikipedia
Some notable examples include Journal of Computational Biology and PLOS Computational Biology. The PLOS computational biology ... Computational evolutionary biology[edit]. Computational biology has assisted the field of evolutionary biology in many ... Cancer computational biology[edit]. Cancer computational biology is a field that aims to determine the future mutations in ... Computational pharmacology[edit]. Computational pharmacology (from a computational biology perspective) is "the study of the ...
https://en.wikipedia.org/wiki/Computational_biology
Computational Biology | OHSUComputational Biology | OHSU
Computational Biology The Computational Biology program leads in the development of innovative computational approaches at OHSU ... Welcome to Computational Biology. The OHSU computational biology program leads in the development of innovative computational ... The computational biology team has advanced training in machine learning, statistical techniques, and a track record of ... Research in the computational biology program focuses on integrative analysis of high dimensional heterogeneous molecular, ...
https://www.ohsu.edu/school-of-medicine/computational-biology
Computational Systems BiologyComputational Systems Biology
Dr Philip Lewis is an Honorary Reader in the Cell and Developmental Biology department at UCL. His work focuses on mathematical ... Understand the uses of modelling in biology with reference to examples drawn across the spectrum of bioscience research. ... Research in the field of Systems Biology is highly interdisciplinary. It often involves biologists working with colleagues from ... and computational approaches to biological research. He delivers the Dynamic Biological Systems module to UCL undergraduates ...
http://www.ucl.ac.uk/prospective-students/study-abroad-ucl/summer-school/modules/computational-systems-biology
Computational BiologyComputational Biology
... Research. We construct computational models to improve our knowledge of biomedical processes and ... Contact Computational Biology. Postbus 513 5600 MB Eindhoven T:. +31 (0)40 247 5537. F:. +31 (0)40 243 4970. E:. r.a.v.dijck. ... The research group Computational Biology contributes to the education of the Department of Biomedical Engineering ...
https://www.tue.nl/universiteit/faculteiten/biomedische-technologie/onderzoek/onderzoeksgroepen-biomedische-technologie/computational-biology/
Computational and Predictive Biology | ORNLComputational and Predictive Biology | ORNL
Computational and Predictive Biology Analyzing biological systems using computational techniques. The pursuit of a holistic ... The Computational and Predictive Biology Group brings together and collaborates with scientists from related experimental, ... computational, and technical disciplines to build increasingly detailed computational models of biological systems. These ... Biological research is increasingly dependent on, and driven by, evolving computational analysis and prediction. ...
https://www.ornl.gov/group/computation-and-predictive-biology
Mathematical & Computational Biology | Series | SpringerMathematical & Computational Biology | Series | Springer
Computational Biology Endorsed by the International Society for Computational Biology, the Computational Biology series ... Mathematical & Computational Biology , Series. This selection contains titles in Mathematical & Computational Biology ... Theoretical Biology Iwasa, Y. (Ed) The "Theoretical Biology" series publishes volumes on all aspects of life sciences research ... Bernstein Series in Computational Neuroscience Benda, J. (Ed) Bernstein Series in Computational Neuroscience reflects the ...
https://www.springer.com/la/product-search/discipline?topic=M31000,M31010,M31020&disciplineId=mathematicalbiology&facet-type=type__series&returnUrl=la%2Fmathematics%2Fmathematical-computational-biology
Computational & Synthetic Biology | Computer Science & EngineeringComputational & Synthetic Biology | Computer Science & Engineering
Allen School faculty and students collaborate with researchers in biology and medicine on a wide range of computational ... Biology is fast becoming an information science, with large databases and sophisticated algorithms now essential tools in the ... A team led by professor Rajesh Rao published the results of a study that employs computational methods to explain human choices ... Seelig Lab for Synthetic Biology. Members of the Seelig Lab aim to advance our understanding of how biological organisms ...
https://www.cs.washington.edu/research/compbio
Computational biology (eBook, 2010) [WorldCat.org]Computational biology (eBook, 2010) [WorldCat.org]
Computational biology. [David Fenyo;] -- Computational biology is an interdisciplinary field that applies mathematical, ... biology_methods> # Computational Biology--methods a schema:Intangible ;. schema:name "Computational Biology--methods"@en ;. . ... In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their ... In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their ...
https://www.worldcat.org/title/computational-biology/oclc/670212484
Computational Methods in Systems Biology | SpringerLinkComputational Methods in Systems Biology | SpringerLink
This book constitutes the refereed proceedings of the 6th International Conference on Computational Methods in Systems Biology ... Computational Methods in Systems Biology. 6th International Conference CMSB 2008, Rostock, Germany, October 12-15, 2008. ... This book constitutes the refereed proceedings of the 6th International Conference on Computational Methods in Systems Biology ... On a Continuous Degree of Satisfaction of Temporal Logic Formulae with Applications to Systems Biology ...
https://link.springer.com/book/10.1007%2F978-3-540-88562-7
Computational Molecular Biology | The MIT PressComputational Molecular Biology | The MIT Press
This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including ... and computational biology. They can carry out such tasks as predicting a natural language sentence, or segmenting an image into ... Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology ... Becoming conversant with the intricacies of molecular biology and its extensive technical vocabulary can be a challenge, though ...
https://mitpress.mit.edu/category/discipline/science/computational-molecular-biology
Computational Molecular Biology | The MIT PressComputational Molecular Biology | The MIT Press
Computational Molecular Biology Computational molecular biology brings together computational, statistical, experimental, and ... Learning and Inference in Computational Systems Biology Neil D. Lawrence, Mark Girolami, Magnus Rattray, and Guido Sanguinetti ... Current Topics in Computational Molecular Biology Tao Jiang, Ying Xu, and Michael Q. Zhang 2002. ... Kernel Methods in Computational Biology Bernhard Schölkopf, Koji Tsuda, and Jean-Philippe Vert 2004. ...
https://mitpress.mit.edu/books/series/computational-molecular-biology
CMU SCS - Computational Molecular Biology ResearchCMU SCS - Computational Molecular Biology Research
Computational Molecular Biology in the School of Computer Science Computational molecular biology is an active area of research ... Degree in Biological Sciences/Computational Biology, the Professional Masters Program in Computational Biology, and the Merck ... Graduate student applicants wishing to participate in the Merck Computational Biology and Chemistry graduate program at ... is interested in the application of artificial intelligence to problems in computational molecular biology.. ...
http://www.cs.cmu.edu/~durand/csd.html
Journal of Computational BiologyJournal of Computational Biology
... cutting-edge methods in computational biology and bioinformatics. ... Journal of Computational Biology. Co-Editors-in-Chief: Sorin ... Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing ... Special Issue: RECOMB/ISCB Systems Biology, Regulatory Genomics, and DREAM 2014. Journal of Computational Biology is now the ... Journal of Computational Biology is under the editorial leadership of Co-Editors-in-Chief Sorin Istrail, PhD, Brown University ...
http://www.liebertpub.com/cmb
COT 4461: Computational BiologyCOT 4461: Computational Biology
Description: This course is an introduction to the study of Algorithmic and Computational problems in molecular biology. ... COT 4461: Computational Biology. Course Description for Computational Biology. COT4461: Computational Biology ...
https://www.unf.edu/catalog/link/UGCOT4461C/
Journal of Computational BiologyJournal of Computational Biology
... cutting-edge methods in computational biology and bioinformatics. ... Journal of Computational Biology. Co-Editors-in-Chief: Sorin ... Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing ... Journal of Computational Biology is under the editorial leadership of Co-Editors-in-Chief Sorin Istrail, PhD, Brown University ... DNA and Cell Biology DNA and Cell Biology. Combining mechanistic and clinical studies from multiple systems in a single ...
http://www.liebertpub.com/cmb/connect
Computational biologyComputational biology
... at The University of Western Australia studies biological questions using mathematics, statistics and ... Understanding biology using computational simulation and analysis. Our research groups address fundamental and applied ... Evolutionary biology. The evolutionary biology research group studies species evolutionary processes such as sexual selection ... We use a range of computational methods and modelling to explore:. *the evolution of resistance to biocides in weeds, pathogens ...
https://www.uwa.edu.au/Research/Computational-biology
Computational biology and bioinformatics | Cambridge University PressComputational biology and bioinformatics | Cambridge University Press
Computational biology and bioinformatics. Computational biology and bioinformatics. .addthis_counter.addthis_bubble_style { ... Analyzing Network Data in Biology and Medicine An Interdisciplinary Textbook for Biological, Medical and Computational ... Receive email alerts on new books, offers and news in Computational biology and bioinformatics. ... Python Programming for Biology Bioinformatics and Beyond. Stevens, Tim J. Boucher, Wayne Published: February 2015Published: ...
https://www.cambridge.org/ge/academic/subjects/computer-science/computational-biology-and-bioinformatics
Bioinformatics & Computational Biology | Academics | WPIBioinformatics & Computational Biology | Academics | WPI
Computational Biology program uses cutting-edge quantitative techniques to increase our understanding of biology. ... Director, Bioinformatics & Computational Biology. We designed WPIs BCB Program to educate students to feel comfortable in the ... Bioinformatics involves the collection, management, and analysis of biological data; Computational Biology is the development ... We also have a Bioinformatics & Computational Biology Summer Research Program for High School Students. ...
https://www.wpi.edu/academics/departments/bioinformatics-computational-biology
Computational Genome BiologyComputational Genome Biology
Junior Research Group Computational Genome Biology. Dr. Bernd Fischer. Cells are automatically segmented in images from a high- ... We will develop computational methods that aim to predict the phenotypic outcome of drug treatments and combinations of drugs ... The computational methods will be instrumental for cancer proteomics in basic and biomarker research and for the construction ... We will develop computational and statistical methods required for the analysis of emerging, cutting-edge data, especially from ...
https://www.dkfz.de/en/computational-genome-biology/
bioSyntax: syntax highlighting for computational biology. - PubMed - NCBIbioSyntax: syntax highlighting for computational biology. - PubMed - NCBI
bioSyntax: syntax highlighting for computational biology.. Babaian A1,2, Ebou A3, Fegen A4, Kam HY5, Novakovsky GE6, Wong J7, ... Computational biology requires the reading and comprehension of biological data files. Plain-text formats such as SAM, VCF, GTF ... bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate ...
https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=Fegen+A%5Bau%5D&dispmax=50
Computational Biology - Pre-College Programs - Carnegie Mellon UniversityComputational Biology - Pre-College Programs - Carnegie Mellon University
This page details Carnegie Mellon Universitys Pre-College Computational Biology program and its associated eligibility ... What is computational biology?. Great question! The short answer is the application of high-powered computational approaches to ... Have a strong interests in math, biology, and computer science. * Previous exposure to computational biology isnt required. ... Students in the Pre-College Program in Computational Biology conduct cutting-edge experiments in molecular biology and build ...
https://www.cmu.edu/pre-college/academic-programs/computational-biology.html
Bioinformatics & Computational Biology Alumni Provide MentorshipBioinformatics & Computational Biology Alumni Provide Mentorship
... computational biology alumni establish an alumni mentoring program to provide perspective & mentorship to students amid COVID- ... Creating a Student-Alumni Network for the Bioinformatics and Computational Biology Program ... Creating a Student-Alumni Network for the Bioinformatics and Computational Biology Program. ... Elizabeth Ryder considered how to reach out to students and alumni in her field of Bioinformatics and Computational Biology to ...
https://www.wpi.edu/news/creating-student-alumni-network-bioinformatics-and-computational-biology-program
Center for Computational Biology | Scripps Research Center for Computational Biology | Scripps Research
The Center for Computational Biology provides institute-wide bioinformatics analytics for Scripps Research as well as for ... The Center for Computational Biology has wide-ranging experience in creating custom scientific software. Projects for ... Wessel GM, Brayboy L, Fresques T, Gustafson EA, Oulhen N, Ramos I, Reich A, Swartz SZ, Yajima M, Zazueta V., The biology of the ... The computational proteomics focus area provides expertise in analyzing and interpreting data generated by mass spectrometry ...
https://www.scripps.edu/science-and-medicine/cores-and-services/center-for-computational-biology/
Computational and Systems Biology of CancerComputational and Systems Biology of Cancer
... February 8 - 11, 2015. The Fairmont San Francisco. San Francisco, California, USA. ... AACR Special Conference on Computational and Systems Biology of Cancer (B) for a keynote address and reception on Sunday, Feb. ... The field of cancer systems biology has emerged to address the increasing challenge of cancer as a complex, multifactorial ... Prepare for the conference with access to impactful genomics and systems biology articles, published across the AACR journals. ...
http://www.aacr.org/Meetings/Pages/MeetingDetail.aspx?EventItemID=29
Computational Biology - UMMS Biochemistry & Molecular PharmacologyComputational Biology - UMMS Biochemistry & Molecular Pharmacology
Computational Biology Research Biochemistry & Molecular Pharmacology University of Massachusetts Medical School ... Computational Biology. What is Computational Biology and Bioinformatics? The goal of computational biology and bioinformatics ... Our PIs that are conducting research in the area of Computational Biology and Bioinformatics. Job Dekker ... Researchers in computational biology and bioinformatics develop algorithms that can predict the behavior of a biological system ...
https://umassmed.edu/bmp/our-research/computational-biology/
MIT Department of Biology: 7.91 - Foundations of Computational andSystems BiologyMIT Department of Biology: 7.91 - Foundations of Computational andSystems Biology
Introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis ... Biology at MIT , MIT Home. MIT Department of Biology 31 Ames Street Room 68-132 Cambridge MA 02139 617-253-4701. Contents of ... Subject designed for advanced undergraduates and graduate students with strong backgrounds in either molecular biology or ...
http://web.mit.edu/7.91/
Computational Biology | BSC-CNSComputational Biology | BSC-CNS
Development of systems biology approaches for modeling and simulating cellular systems. Computational systems biomedicine ... Such computational methods devoted to the interpretation of protein variants will expand our knowledge on the mechanisms by ... New computational methods were developed for the integration of different epigenomic datasets, including histone modifications ... In particular, MelanomaMine detects bio-entities (genes, proteins, mutations and chemicals/drugs) that are relevant for the ...
https://www.bsc.es/ca/discover-bsc/organisation/scientific-structure/computational-biology
Computational Systems Biology - WURComputational Systems Biology - WUR
Computational Systems Biology. Systems Biology is based on an integrative approach and applies various computational strategies ... A main goal of the laboratory of Systems and Synthetic Biology is to gain a systems understanding of societal relevant ... To address these questions we build Systems Biology frameworks encompassing different levels of granularity within the fields ... bioinformatics and systems-biology innovations drive algal biotechnology Trends in biotechnology 32,12,617-626 ...
https://www.wur.nl/en/Research-Results/Chair-groups/Agrotechnology-and-Food-Sciences/Laboratory-of-Systems-and-Synthetic-Biology/Research/Computational-Systems-Biology.htm
Computational Biology of Transcription Factor Binding | Istvan Ladunga | SpringerComputational Biology of Transcription Factor Binding | Istvan Ladunga | Springer
Computational Biology of Transcription Factor Binding. Editors. * Istvan Ladunga Series Title. Methods in Molecular Biology. ... In Computational Biology of Transcription Factor Binding, experts in the field examine the basic principles and provide ... Authoritative and easy to use, Computational Biology of Transcription Factor Binding guides scientists working in this area and ... Through great experimental difficulty, weve witnessed rapid, crucial developments at the intersection of computational biology ...
https://www.springer.com/us/book/9781607618539?utm_campaign=bookpage_about_buyonpublisherssite&utm_medium=referral&utm_source=springerlink
Computational Methods in Molecular Biology, Volume 32 - 1st EditionComputational Methods in Molecular Biology, Volume 32 - 1st Edition
Purchase Computational Methods in Molecular Biology, Volume 32 - 1st Edition. Print Book & E-Book. ISBN 9780444828750, ... Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and ... Computational Methods in Molecular Biology, Volume 32 1st Edition. 0 star rating Write a review ... Software and databases for computational biology on the Internet. Appendix B: Suggestions for further reading in computational ...
https://www.elsevier.com/books/computational-methods-in-molecular-biology/salzberg/978-0-444-82875-0
GenomicsMolecularApproachesInterdisciplinaryPLOS ComputaBioinformatics and computationalAlgorithmsProteomicsApplied mathematicsStatisticalEvolutionaryBiologistsScientistsBiotechnologyJournal of CompInternational Society for Computational BiologyResearchBiological SciencesBiostatisticsComputationGeneticsStructuralExperimentalCarnegie Mellon UniSequenceDataAnalyzeGenomeHigh-throughputIntroduction to computational biologySearchComputer scienceCenter for ComFacultyContentDisciplineProteinSystemsAcademicsAdvancesTheoretical methodsAlgorithmic designProgramTechniquesMaster's
Genomics14
  • [1] The field is broadly defined and includes foundations in biology , applied mathematics , statistics , biochemistry , chemistry , biophysics , molecular biology , genetics , genomics , computer science and evolution . (wikipedia.org)
  • This data has now become commonplace, particularly in molecular biology and genomics . (wikipedia.org)
  • Bioinformatics & Computational Biology at Princeton University includes bioinformatics, functional genomics, and immune system modeling. (princeton.edu)
  • Areas of emphasis include the application of machine learning and data mining techniques to large biological knowledge bases, biological modeling, computational aspects of high-throughput laboratory methodologies for large-scale, systematic studies of protein structure and function, analysis of biological image data and computational genomics. (cmu.edu)
  • Prof. Raphael research interests include computational cancer biology and the design and application of algorithms for problems in comparative genomics, regulatory genomics, and genetic variation. (brown.edu)
  • Studies in computational genomics increasingly rely on analyzing huge quantity of sequences from massive sequencing experiments. (cmu.edu)
  • The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. (ingentaconnect.com)
  • Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. (routledge.com)
  • He is also the associate division director of the Institute for Genomics and Systems Biology at Argonne National Laboratory. (anl.gov)
  • HIWI Position in Bioinformatics Single cell genomics is revolutionizing biology and medicine. (mytum.de)
  • This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses. (wiley.com)
  • Phil Blood, widely recognized for his contributions to national genomics and molecular dynamics communities, has been appointed senior director of PSC's Computational Biology Group. (psc.edu)
  • As bioinformatics and computational biology bridges data interpretation (e.g. in genomics, transcriptomics, and proteomics) and software development, the section welcomes Original Research and Methods articles describing new analytical approaches and code - which may be as brief as required for accurate presentation. (frontiersin.org)
  • CBD faculty and students conduct research in genomics, systems biology, and biological imaging. (wikipedia.org)
Molecular40
  • Research in the computational biology program focuses on integrative analysis of high dimensional heterogeneous molecular, imaging, and clinical data to infer predictive models of disease-related phenotypes and functional interventions that induce desired phenotypic transitions. (ohsu.edu)
  • As a volume in the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. (springer.com)
  • Their work integrates the design of molecular circuity in the test tube and in the cell with the investigation of existing biology pathways. (washington.edu)
  • Methods in molecular biology (Clifton, N.J.) , v. 673. (worldcat.org)
  • Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. (mit.edu)
  • This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. (mit.edu)
  • Recent research in molecular biology has produced a remarkably detailed understanding of how living things operate. (mit.edu)
  • Computational molecular biology brings together computational, statistical, experimental, and technological methods in order to further scientific discovery and develop new analytical tools for molecular biology. (mit.edu)
  • The MIT Press Series on Computational Molecular Biology is intended to provide a unique and effective venue for the rapid publication of monographs, textbooks, edited collections, reference works, and lecture notes of the highest quality. (mit.edu)
  • is interested in the application of artificial intelligence to problems in computational molecular biology. (cmu.edu)
  • Combining mechanistic and clinical studies from multiple systems in a single resource, the Journal delivers authoritative, peer-reviewed reporting on the latest research in the field of molecular biology. (liebertpub.com)
  • This course is an introduction to the study of Algorithmic and Computational problems in molecular biology. (unf.edu)
  • Introduction to Computational Molecular Biology , by Setubal & Meidanis, PWS Publishing Company, ISBN 0-534-95262-3. (nyu.edu)
  • Students in the Pre-College Program in Computational Biology conduct cutting-edge experiments in molecular biology and build computational approaches from the ground up to analyze the datasets that they obtain from these experiments. (cmu.edu)
  • Researchers in computational biology and bioinformatics develop algorithms that can predict the behavior of a biological system and explore the molecular mechanisms of function of nucleic acids and/or proteins. (umassmed.edu)
  • Subject designed for advanced undergraduates and graduate students with strong backgrounds in either molecular biology or computer science. (mit.edu)
  • Recent methodological advances in the field of molecular and structural biology allow us to use evidence of strong co-evolution as a reliable marker of important evolutionary relationships at molecular level to better understand and predict fundamental aspects of the structure and function of proteins. (bsc.es)
  • mputational Molecular Biology (CCMB). (brown.edu)
  • The January 2007 issue of Genome Technology magazine named Center for Computational Molecular Biology Assistant Professor Ben Raphael to their annual "Tomorrow's PIs" list. (brown.edu)
  • In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology. (mit.edu)
  • Computational Molecular Biology series: computer science and mathematics are transforming molecular biology from an informational to a computational science. (mit.edu)
  • Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology. (mit.edu)
  • CALL FOR PAPERS* *3rd International Workshop on* *Biological **Knowledge Discovery and Data Mining** **(BIOKDD'12)* Held in parallel with *23rd International Conference on Database and * *Expert Systems Applications **(**DEXA'12**)* www.dexa.org Vienna, Austria *September 3 - 7, 2012* With the development of Molecular Biology during the last decades, we are witnessing an exponential growth of both the volume and the complexity of biological data. (bio.net)
  • Introduction to basic computational methods used for problems arising in molecular biology. (princeton.edu)
  • The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. (routledge.com)
  • Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. (routledge.com)
  • The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. (routledge.com)
  • In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. (wiley.com)
  • His current research interests include RNA structure and sequence evolution, molecular phylogenetics, theoretical evolutionary biology, and population genetics. (wiley.com)
  • The advances in molecular biology and biochemistry that have increased our knowledge of the inner workings of microbes and the better availability of individual-based observations at cell level have brought about an increase in the application of individual-based modelling to microbes. (uea.ac.uk)
  • An All-In-One Desktop AMI with hundreds of popular opensource computational molecular biology tools. (amazon.com)
  • Molecular dynamics simulations capture the behavior of biological macromolecules in full atomic detail, but their computational demands, combined with the challenge of appropriately modeling the relevant physics, have historically restricted their length and accuracy. (nih.gov)
  • SM] J. Setubal and J. Meidanis, Introduction to Computational Molecular Biology , PWS Publishing Co., 1997, 296 pages. (univ-mlv.fr)
  • Biopython: freely available Python tools for computational molecular biology and bioinformatics. (nih.gov)
  • Now hosted at the San Diego Supercomputer Center at University of California, San Diego, the Society was officially formed in 1997 as an outgrowth of the conference on Intelligent Systems for Molecular Biology (ISMB). (bioportfolio.com)
  • The bioinformatics and computational biology program brings together expertise from across Saint Louis University in biology, chemistry, computer science, mathematics and statistics, biochemistry and molecular biology. (slu.edu)
  • Molecular Systems Biology 1 - Transcriptional regulation - experiments and quantitative models - This course covers transcriptional regulation from a quantitative perspective. (tum.de)
  • Finally, space is given to the application of design concepts towards the realization of solutions for exercises and analysis methodologies in bioinformatics and molecular biology. (unibo.it)
  • This chapter elevates the researchers in what way data science play important role in Computational Biology such as Bio-molecular Computation, Computational Photonics, Medical Imaging, Scientific Computing, Structural Biology, Bioinformatics and Bio-Computing etc. (igi-global.com)
  • The student should have familiarity with genetic and molecular biology concepts and should be able to work independently using python and R programming tools. (fsu.edu)
Approaches23
  • The Computational Biology program leads in the development of innovative computational approaches at OHSU. (ohsu.edu)
  • The OHSU computational biology program leads in the development of innovative computational approaches to a range of programs in basic and translational research throughout OHSU. (ohsu.edu)
  • His work focuses on mathematical and computational approaches to biological research. (ucl.ac.uk)
  • This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer vision. (mit.edu)
  • The premier open access, peer reviewed journal focused on interdisciplinary approaches to exploiting the power of big data by applying systems biology and network medicine. (liebertpub.com)
  • Our research groups address fundamental and applied questions in biology using big data approaches, and methods and tools from mathematics, statistics and computer science. (edu.au)
  • The overarching focus of our program is to provide an unparalleled learning experience for our students by helping them explore the beautiful computational approaches that can be used to analyze biological data. (cmu.edu)
  • The field of cancer systems biology has emerged to address the increasing challenge of cancer as a complex, multifactorial disease using sophisticated model-based approaches, ranging from relatively coarse genome-wide regulatory and signaling networks to detailed kinetic models of key pathways. (aacr.org)
  • This AACR Special Conference complements and expands the topics explored by the AACR Special Conference on Translation of the Cancer Genome , with which it shares a joint day of sessions, to focus on new innovations in the translation of genomic data using model-based and other systems biology approaches. (aacr.org)
  • The Rando lab uses a variety of genome-wide methods to study chromatin structure and function, and epigenetic inheritance, and collaborates extensively with computational biologists to both implement extant analytical approaches as well as design novel types of data analysis. (umassmed.edu)
  • 9. Evolutionary approaches to computational biology (R.J. Parsons). (elsevier.com)
  • The Computational Biology Track curriculum is designed to help students learn how to leverage mathematical and computational approaches to understand biological and chemical processes. (utsouthwestern.edu)
  • Topics include computational approaches to: sequence similarity and alignment, phylogenic inference, gene recognition, gene expression analysis, structure prediction, and whole- and cross-genome analysis. (princeton.edu)
  • To study these microbial systems we implement state of the art tools including next generation DNA sequencing and computational approaches. (anl.gov)
  • The rise of sound statistical and combinatorial approaches in evolutionary biology has seen considerable improvements of the original ad hoc methods and the ability of the new methods and algorithms to handle ever-larger data sets. (lirmm.fr)
  • This branch supports bioinformatics and computational approaches that join biology with the computer sciences, engineering, mathematics, biostatistics and physics as well as general approaches that have the potential for broad applicability and usage by investigators with support from across NIH and other agencies. (nih.gov)
  • In conclusion, computational approaches I have used have been successful in testing theories and highlighting potentially promising research directions, but much theoretical and experimental work is still needed to fully understand the evolution of sex in nature. (ens.fr)
  • Complex Systems and Computational Biology Approaches to Acute Inflammation presents the current state of the art of multi-disciplinary and systems-oriented research approaches to complex diseases arising from and driven by the acute inflammatory response. (worldcat.org)
  • By presenting the role of computational modeling as an integrated component of the research process, Complex Systems and Computational Biology Approaches to Acute Inflammation offers a window into the future of biomedical research. (worldcat.org)
  • Internships in the Dennis lab will use computational approaches to facilitate an integrated analysis of dynamic nucleosome remodeling and nucleosome sensitivity. (fsu.edu)
  • These studies will yield immediate and widely applicable information on the fundamental biology of complex genomes and ultimately new approaches for understanding development and disease. (fsu.edu)
  • new computational and theoretical approaches are essential. (yale.edu)
  • Computational Biology and Bioinformatics is a field where biological and biomedical problems are addressed using diverse data sources with novel computational, statistical, and theoretical approaches. (yale.edu)
Interdisciplinary12
  • Computational biology is different from biological computing , which is a subfield of computer science and computer engineering using bioengineering and biology to build computers , but is similar to bioinformatics , which is an interdisciplinary science using computers to store and process biological data. (wikipedia.org)
  • Research in the field of Systems Biology is highly interdisciplinary. (ucl.ac.uk)
  • Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. (springer.com)
  • The only peer-reviewed interdisciplinary publication covering all "OMICS"-related science, such as integrative biology and medicine. (liebertpub.com)
  • We are an interdisciplinary and experienced team of computational biologists, experimental scientists, and drug hunters. (genomeweb.com)
  • The purpose of this interdisciplinary major is to provide a top-notch educational program for students interested in the areas of computational biology and bioinformatics. (fsu.edu)
  • Harvey Mudd's Core curriculum provides mathematical and computational biology majors with a strong multidisciplinary foundation, and the College offers many opportunities for students to engage in interdisciplinary research in biomathematics, computational biology, and quantitative biology. (hmc.edu)
  • Bioinformatics and Computational Biology are interdisciplinary fields that apply techniques of computer science, applied mathematics, statistics, and biochemistry to solve biological problems. (diku.dk)
  • Our group seeks an interdisciplinary approach, bridging the traditional gaps between physics, mathematics and biology. (unil.ch)
  • Data Science and Computational biology is an interdisciplinary program that brings together the domain specific knowledge of science and engineering with relevant areas of computing and bioinformatics. (igi-global.com)
  • As a student in the CBB program and the Integrated Graduate Program in Physical and Engineering Biology (PEB), I have seen firsthand the interdisciplinary opportunities available at Yale. (yale.edu)
  • As part of the HHMI-NIBIB Interfaces Initiative, CBD received funding from Howard Hughes Medical Institute and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) to develop an interdisciplinary Ph.D. program in computational biology with the University of Pittsburgh, which was founded as the Joint CMU-Pitt Ph.D. Program in Computational Biology in 2005. (wikipedia.org)
PLOS Computa3
  • PLoS Computational Biology , an open source journal from the Public Library of Science , has been unveiled today. (medgadget.com)
  • PLoS Computational Biology provides a home for important biological research driven by computation-a place where computational biologists can find the best work produced by their colleagues, and where the broader biological community can see the myriad ways computation is advancing our understanding of biological systems. (medgadget.com)
  • PLOS) The second annual PLOS Computational Biology Research Prize program has awarded top prizes to three exemplary studies published in 2017. (bioportfolio.com)
Bioinformatics and computational21
  • Alicia Howell-Munson has been in the WPI PhD Program for Bioinformatics and Computational Biology since the fall of 2019. (wpi.edu)
  • We also developed courses that overlap two or more of these disciplines, each centered on different aspects of the theories, concepts, techniques, and tools of bioinformatics and computational biology. (wpi.edu)
  • Dmitry Korkin , PhD, associate professor of computer science and director of the university's bioinformatics and computational biology program, leads the research team. (wpi.edu)
  • Integrating Bioinformatics and Computational Biology: Perspective. (ingentaconnect.com)
  • The Department currently has 21 faculty in the tenure and research tracks with research interests spanning traditional biostatistics, stochastic modeling, bioinformatics and computational biology. (rochester.edu)
  • Bridging biology, the quantitative sciences (such as mathematics, statistics, computer science) and engineering, Bioinformatics and Computational Biology publishes works describing new methods or applications of analytical platforms for complex biological data. (frontiersin.org)
  • The discipline of bioinformatics and computational biology sits at the interface between biology, the quantitative sciences (such as mathematics, statistics, computer science) and engineering, and spans levels of investigation from single genes to systems. (frontiersin.org)
  • Section Bioinformatics and Computational Biology aims to rapidly publish new methods, research findings, opinions, and hypothesis articles on all aspects of the discipline. (frontiersin.org)
  • As is fitting in such a fast-moving, broad discipline, we also seek attempts to connect different sub-fields of bioinformatics, as well as those that examine the history of bioinformatics and computational biology. (frontiersin.org)
  • All manuscripts must be submitted directly to the section Bioinformatics and Computational Biology, where they are peer-reviewed by the Associate and Review Editors of the specialty section. (frontiersin.org)
  • The Bioinformatics and Computational Biology program has transitioned from Common Fund support. (nih.gov)
  • For more information, please visit the websites for the individual National Centers for Biomedical Computing posted on the Bioinformatics and Computational Biology program homepage . (nih.gov)
  • Please note that since the Bioinformatics and Computational Biology program is no longer supported by the Common Fund, the program website is being maintained as an archive and will not be updated on a regular basis. (nih.gov)
  • Home » Arts and Sciences » Academics » Degrees » Graduate » Bioinformatics and Computational Biology M.S. (slu.edu)
  • Bioinformatics and Computational Biology, M.S. (slu.edu)
  • The fields of bioinformatics and computational biology have become an important academic discipline for such breakthroughs and a critical part of success for firms in the biotechnology sector. (slu.edu)
  • The 30-credit bioinformatics and computational biology program is designed for students with academic backgrounds in the life sciences, mathematics, computer science, health sciences, and statistics. (slu.edu)
  • The curriculum consists of a mix of required courses that build a strong foundation in bioinformatics and computational biology and elective classes that allow students to specialize their expertise. (slu.edu)
  • As a student in the bioinformatics and computational biology program, students will be required to complete either a research experience with faculty or an internship with a biotech firm in the St. Louis area, which is home to one of the largest concentrations of biotech companies in the country. (slu.edu)
  • The Program in Bioinformatics and Computational Biology offers graduate study and research focused on the development and application of computational and mathematical models to biological problems, with an emphasis on the now-available, high-throughput genomic and proteomic data. (umassmed.edu)
  • Students receive a rigorous training in modern bioinformatics and computational biology through integration of guided research, coursework and participation in seminar programs. (umassmed.edu)
Algorithms13
  • Computational Biology, which includes many aspects of bioinformatics , is the science of using biological data to develop algorithms or models to understand biological systems and relationships. (wikipedia.org)
  • Sometimes referred to as genetic algorithms , the research of this field can be applied to computational biology. (wikipedia.org)
  • Biology is fast becoming an information science, with large databases and sophisticated algorithms now essential tools in the field. (washington.edu)
  • develops algorithms for high-throughput structural biology, accelerating critical steps in determining and modeling protein structures and their dynamics, thereby facilitating faster and better techniques for drug design. (cmu.edu)
  • develops probabilistic inference and learning algorithms for computational biology and statistical genetics, and for generic intelligent systems of a wide range of applications. (cmu.edu)
  • You can do genetic data analysis, simulations, computational methods of finding new algorithms for mathematical formulas. (wpi.edu)
  • This book constitutes the proceedings of the 6th InternationalConference on Algorithms for Computational Biology, AlCoB 2019, held in Berkeley, CA, USA, in May 2019. (springer.com)
  • The Weng laboratory builds and applies computational algorithms to integrate deep sequencing genomic, epigenomic, and transcriptomic data to study gene regulation. (umassmed.edu)
  • Mathematical and computational concepts, methods, and algorithms are being applied to all areas of basic and clinical life sciences, which results in a variety of research topics. (utsouthwestern.edu)
  • Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. (indiebound.org)
  • Most of our work is computational, which means we use computer algorithms to process and analyse data. (unil.ch)
  • Analysis of computational complexity of algorithms. (unibo.it)
  • The written part is composed of two sections: the first section concerns the design and analysis of algorithms and data structures oriented to the maximum computational and space efficiency by adopting the techniques and knowledge learnt during the classes. (unibo.it)
Proteomics4
  • In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks. (springer.com)
  • Specifically, the computational research in proteomics will focus on integrating individual genome sequences into the analysis of proteomic mass spectrometry data. (dkfz.de)
  • The computational methods will be instrumental for cancer proteomics in basic and biomarker research and for the construction of predictive, translational platforms for the next generation of individualized, genome-informed drug therapies. (dkfz.de)
  • The computational proteomics focus area provides expertise in analyzing and interpreting data generated by mass spectrometry experiments. (scripps.edu)
Applied mathematics3
  • Concentration advisors are from the Department of Ecology and Evolutionary Biology, Department of Computer Science, and the Department of Applied Mathematics. (brown.edu)
  • This major prepares students for graduate studies in areas including applied mathematics, bioinformatics, computational biology, genome science, mathematical biology, and diverse areas of biology, as well as employment in industry. (hmc.edu)
  • The Computational Biology and Bioinformatics Track combines research training opportunities in a range of different fields within the biological sciences, in addition to the computational sciences, biostatistics, and applied mathematics. (yale.edu)
Statistical7
  • The computational biology team has advanced training in machine learning, statistical techniques, and a track record of innovation in a biomedical application. (ohsu.edu)
  • Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. (liebertpub.com)
  • We will develop computational and statistical methods required for the analysis of emerging, cutting-edge data, especially from high-throughput functional and genetic assays, and advanced applications of spectrometry. (dkfz.de)
  • The goal of computational biology and bioinformatics is to understand biology through the development of mathematical models, the use of computer simulation techniques and statistical analysis of large biological data-sets. (umassmed.edu)
  • The mathematical and statistical tools that are used in Computational Biology, e.g., probabilistic models for physical maps, statistical significance of sequence alignments etc. (bio.net)
  • The curriculum offers a selection of elective courses that introduce some of the computational, mathematical, and statistical foundations of these applications. (utsouthwestern.edu)
  • The statistical, computational and analytical contributions of ongoing studies include microRNA and whole genome epigenetic experiments in swine and human cells. (upenn.edu)
Evolutionary8
  • [4] The terms computational biology and evolutionary computation have a similar name, but are not to be confused. (wikipedia.org)
  • Unlike computational biology, evolutionary computation is not concerned with modeling and analyzing biological data. (wikipedia.org)
  • While evolutionary computation is not inherently a part of computational biology, Computational evolutionary biology is a subfield of it. (wikipedia.org)
  • The Mathematical and Computational Evolutionary Biology meetings focus on cutting-edge methodological advances in the domain, along with their foremost applications. (lirmm.fr)
  • The theme of this year's edition will be "Towards better trade-offs between speed and accuracy for the analysis of very large data sets in evolutionary biology" . (lirmm.fr)
  • The focus is on the mathematical and computational tools and concepts, which form an essential basis of evolutionary studies. (lirmm.fr)
  • This well-written book provides a description of modern bioinformatics methods while providing the biology and evolutionary theory necessary to understand how, why, and when these methods work. (wiley.com)
  • Students should have background in genetics and preferably evolutionary biology. (fsu.edu)
Biologists2
  • Computer scientists, biologists, system biologists and anyone interested in the new world of computational biology: Get together for conversations about the most fascinating topics you can think of, the new frontiers of what hackers can do in the life sciences. (meetup.com)
  • The program aims to bridge the gap between wet-lab biologists and computational scientists to their mutual benefit, and prepares students for careers in cutting-edge, highly quantitative biomedical research. (umassmed.edu)
Scientists13
  • Authoritative and easy to use, Computational Biology is an ideal guide for all scientists interested in quantitative biology. (springer.com)
  • The Computational and Predictive Biology Group brings together and collaborates with scientists from related experimental, computational, and technical disciplines to build increasingly detailed computational models of biological systems. (ornl.gov)
  • this their primary research area as well through collaborations between computational and biological scientists. (cmu.edu)
  • bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate research output. (nih.gov)
  • Tomorrow's life scientists will need deep knowledge of not only the laboratory techniques for generating experimental data but also the rigorous computational techniques necessary to analyze and model these data. (cmu.edu)
  • To introduce my professional work and get in touch with scientists or companies who are interested in interaction with a computational biologist. (hccnet.nl)
  • As such, it will appeal to basic, translational, computational and clinical scientists from both academia and industry. (aacr.org)
  • A secondary audience will be computer scientists developing techniques with applications in biology. (elsevier.com)
  • Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. (wiley-vch.de)
  • Consequently, the most effective research teams of the future will be composed of scientists who are aware of computational techniques, together with computation experts who have a basic understanding of the science behind the project. (pointloma.edu)
  • Modern biology poses many challenging problems for the computer scientists. (southampton.ac.uk)
  • You will work in a team of several computational scientists and experimentalists who can provide data along the full chain from material design up to in vivo data. (nature.com)
  • His newest work, The Inner Workings of Life (Cambridge University Press), discusses in a casual style the new field of systems biology for interested non-scientists. (elsevier.com)
Biotechnology5
  • Professor Manning is an assistant professor for the Department of Biology & Biotechnology. (wpi.edu)
  • Professor Rao is the associate dean of graduate studies and a professor in the department of Biology & Biotechnology. (wpi.edu)
  • so people can make changes to their yard, learn what flowers to plant, and tell us how do we conserve lands to increase bee diversity," Robert Gegear , professor of biology and biotechnology, told the T&G . (wpi.edu)
  • Applicants should hold a Master of Science degree in Chemistry, Biochemistry, Biotechnology, Pharmaceutical Science, Chemical Engineering or an equivalent background that provides a strong basis of computational techniques and structural biology knowledge. (dtu.dk)
  • Biotechnology, Pharma and Biopharma News - Research - Science - Lifescience ://Biotech-Biopharma-Pharma: Sr. Scientist, Computational Biology .MA-Cambridge, ROLE SUMMARY As part of t. (bioportfolio.com)
Journal of Comp1
  • Journal of Computational Biology, 18(3):323 333, March 2011. (brown.edu)
International Society for Computational Biology1
  • The International Society for Computational Biology (ISCB) is incorporated in the United States as a 501(c)(3) non-profit corporation, and registered in the state of California as a Charitable Trust. (bioportfolio.com)
Research15
  • Understand the uses of modelling in biology with reference to examples drawn across the spectrum of bioscience research. (ucl.ac.uk)
  • He delivers the Dynamic Biological Systems module to UCL undergraduates and the SysMIC eLearning course which provides training in quantitative biology aimed at the postgraduate research community. (ucl.ac.uk)
  • Biological research is increasingly dependent on, and driven by, evolving computational analysis and prediction. (ornl.gov)
  • The research opportunities that span across the computer science, mathematics, and biology departments are wonderful opportunities for BCB students to recognize their specific strengths over time and gives flexibility in expanding their interests. (wpi.edu)
  • She looks forward to working with students both in class and in the lab to gain a better understanding of cancer cell biology and to make meaningful contributions to cancer research. (wpi.edu)
  • Biological and medical research have become fully fledged computational disciplines. (cmu.edu)
  • The Center for Computational Biology provides institute-wide bioinformatics analytics for Scripps Research as well as for external collaborators. (scripps.edu)
  • This comprehensive reference presents cutting-edge and long-ranging research in computational system. (wiley-vch.de)
  • This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. (wiley-vch.de)
  • The Annual International Conference on Research in Computational Biology -- RECOMB -- is one of the top conferences in computational biology. (brown.edu)
  • This work tends to be published either in methods journals that are not read by experimentalists or in one of the numerous journals reporting novel biology, each of which publishes only small amounts of computational research. (medgadget.com)
  • The coursework presents computational research tools in the context of scientific problems. (pointloma.edu)
  • These unique programs offer co-mentorship for portions of the dissertation research to graduate students affiliated with a life science or clinical lab in the areas of computational biology and information technology. (utsouthwestern.edu)
  • In my research I have used computational and theoretical methods to test theories about the evolution of sex, predict when sex will evolve based on those theories and describe the effects of recombination on genomes' genetic architecture. (ens.fr)
  • The Computational Biology Group (CBG) is a research group embedded in the Department of Computational Biology at the University of Lausanne . (unil.ch)
Biological Sciences1
  • Carnegie Mellon University offers educational programs in computational biology through the undergraduate degree in Biological Sciences with a Computational Option or the B.S. Degree in Biological Sciences/Computational Biology, the Professional Masters Program in Computational Biology, and the Merck Graduate Program in Computational Biology and Chemistry . (cmu.edu)
Biostatistics2
  • To support ICB3, designate an online gift to "Other" and indicate "Institute for Computational Biology, Biostatistics, and Bioinformatics" or contact us to discuss your interests. (umass.edu)
  • Welcome to the home page of the Department of Biostatistics and Computational Biology, located in the School of Medicine and Dentistry at the University of Rochester! (rochester.edu)
Computation4
  • The Allen School and the University of Washington are at the forefront of exciting innovations at the intersection of computation and biology to advance scientific discovery, develop new diagnostics and therapeutics, and usher in a new era of personalized medicine. (washington.edu)
  • The term computational science (distinct from computer science) refers to the use of computation to solve problems in the sciences. (pointloma.edu)
  • Folker Meyer is a computational biologist at Argonne National Laboratory and a senior fellow at the Computation Institute at the University of Chicago. (anl.gov)
  • A basic knowledge of biology and genetics and skills of computation programing are required. (fsu.edu)
Genetics1
  • Student should also have good organizational and note-taking skills along with a basic knowledge of genetics and biology. (fsu.edu)
Structural3
  • Introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis, also including an introduction to the analysis of complex biological systems. (mit.edu)
  • 2014. Exploring the structural basis of the selective inhibition of monoamine oxidase A by dicarbonitrile aminoheterocycles: Role of Asn181 and Ile335 validated by spectroscopic and computational studies . (ub.edu)
  • A 3-year PhD scholarship in Structural and Computational Biology is available at Department of Chemistry, Technical University of Denmark. (dtu.dk)
Experimental3
  • His work addresses issues ranging from the experimental design level to the systems biology level. (cmu.edu)
  • The chapters in this volume provide an introduction to different types of computational modeling, and how these methods can be applied to specific inflammatory diseases, with a focus on providing readers with a roadmap for integrating advanced mathematical and computational techniques with traditional experimental methods. (worldcat.org)
  • There is a distinct lack of detailed macromolecular measurement protocols, including comparisons to alternative assays and methodologies, as well as tools to convert the experimental data into biochemical reactions for computational biology applications. (mdpi.com)
Carnegie Mellon Uni2
  • Because Carnegie Mellon University is holding its summer session online this year, we are transitioning the 2020 offering of the PreCollege program in computational biology to an online format. (cmu.edu)
  • The Computational Biology Department (CBD) is a division within the School of Computer Science at Carnegie Mellon University in Pittsburgh, Pennsylvania, United States. (wikipedia.org)
Sequence4
  • Computational biology has been used to help sequence the human genome, create accurate models of the human brain, and assist in modeling biological systems. (wikipedia.org)
  • Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. (elsevier.com)
  • Content: Dynamic Programming techniques as they apply to problems in Computational Biology, e.g., sequence alignment, prediction of RNA Secondary Structure, comparison of philogenetic trees, etc. (bio.net)
  • In biology, a sequence motif is a nucleotide or amino-acid sequence pattern that is widespread and usually assumed to be related to biological function of the macromolecule. (wikipedia.org)
Data21
  • Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, ecological, behavioral, and social systems. (wikipedia.org)
  • It involves the development and application of computational, mathematical and data-analytical methods for modeling and simulation of biological structures. (wikipedia.org)
  • The introduction of high-throughput methods has transformed biology into a data-rich science. (mit.edu)
  • Our contribution is the development of computational statistics for high-dimensional data, including feature selection tools, differential testing and network modeling. (dkfz.de)
  • Computational biology requires the reading and comprehension of biological data files. (nih.gov)
  • Pre-College Computational Biology provides extensive training in both cutting-edge laboratory experiments to generate biological data and the computational analysis of the data that these experiments generate. (cmu.edu)
  • The Rhind lab predicted from computational analysis of genome-wide replication kinetics data that multiple MCM initiation complexes are loaded at each replication origin and confirmed that prediction experimentally. (umassmed.edu)
  • Systems Biology is based on an integrative approach and applies various computational strategies to integrate heterogeneous data to model and discover properties of biological systems. (wur.nl)
  • We have built a systems biology platform that leverages deep omics data we generate from unique human cohorts to identify drug targets that impact aging. (genomeweb.com)
  • It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses. (wiley-vch.de)
  • Computational students increase their knowledge of a particular scientific area, and science students increase their abilities in areas like statistics, scripting, and data management. (pointloma.edu)
  • In this paper we discuss how different computational tools and methods can be made to work together integrating different types of data, mining these data for biological information, and assisting in pathway reconstruction and biological hypotheses generation. (ingentaconnect.com)
  • Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. (southampton.ac.uk)
  • It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. (southampton.ac.uk)
  • To harness the full potential of these developments, new computational methods specifically tailored towards the analysis of single cell omics data are essential. (mytum.de)
  • Job: HIWI-Position, 5h/week (more or less hours also possible, flexible, home office possible) Qualifications: Applicants should be students of bioinformatics/computational biology and be highly motivated to contribute to single-cell RNA-seq data analyses and preparation of manuscripts for publication. (mytum.de)
  • The course is structured with live lessons, illustrating the theoretical aspects of the topics concerning the data structures and algorithmic design for computational biology. (unibo.it)
  • After the introduction of basic definitions and concepts, the course illustrates the design of simple data structures and the relationship with the costs of execution (computational efficiency) and memory occupation (space) on the computer architecture. (unibo.it)
  • Jyothi, Singaraju and Bhargavi P. "Data Science and Computational Biology. (igi-global.com)
  • Data Science and Computational Biology. (igi-global.com)
  • Students can participate on computational studies of genomic data sets that were generated to understand complex reproductive behaviors. (fsu.edu)
Analyze2
  • This required the development of new computational methods in order to quickly analyze and interpret relevant information. (wikipedia.org)
  • The Royer laboratory uses computational methods to analyze protein structures and, currently, to design inhibitors to the cancer target, C-terminal Binding Protein (CtBP), a transcriptional co-regulator involved in regulation of hundreds of genes. (umassmed.edu)
Genome6
  • From sequencing the human genome to modeling living organisms, biology has gone digital, and WPI's Bioinformatics & Computational Biology (BCB) program is at the forefront of this digital revolution. (wpi.edu)
  • Attendees of the AACR Special Conference on Translation of the Cancer Genome (A) will joined by the attendees of the AACR Special Conference on Computational and Systems Biology of Cancer (B) for a keynote address and reception on Sunday, Feb. 8, then for joint sessions on Monday, Feb. 9. (aacr.org)
  • Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. (wiley-vch.de)
  • 13 The Impact of Whole Genome In Silico Screening for Nuclear Receptor-Binding Sites in Systems Biology (Carsten Carlberg and Merja Heinaniemi). (wiley-vch.de)
  • The computational challenges faced by the human genome project and Alan Turing's contribution to morphogenesis are classic examples of such roles. (southampton.ac.uk)
  • Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. (routledge.com)
High-throughput1
  • High-throughput sequencing and advanced imaging are moving computational biology very fast," observed Nick Nystrom, interim director of PSC. (psc.edu)
Introduction to computational biology1
  • This book offers an introduction to computational biology using visual python (an extremely powerful and simple language with graphical capabilities) which focuses on a variety of different types of computer models and how they can be applied to model biological systems. (textbookrevolution.org)
Search1
  • Computational gene prediction using neural networks and similarity search (Y. Xu, E.C. Uberbacher). (elsevier.com)
Computer science12
  • The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. (mit.edu)
  • Biology, Computer Science, and Mathematics. (wpi.edu)
  • We designed WPI's BCB Program to educate students to feel comfortable in the language, concepts, and techniques of three distinct disciplines: biology, mathematics, and computer science. (wpi.edu)
  • These chapters target topics and solutions in computer science, mathematics, physics, biology, and the pharmaceutical and biomedical areas. (wiley-vch.de)
  • PLNU's computational science minor is offered to students who are majoring in a science (biology, chemistry, physics, psychology) or a computational field (mathematics, computer science) and who wish to become conversant in the complementary discipline. (pointloma.edu)
  • Eighteen (18) hours of electives chosen from Biology, Computer Science, Math and/or Statistics. (fsu.edu)
  • it is rigorous without being too formal, and has an accessible and broad coverage of topics from both a computer science and a biology perspective. (wiley.com)
  • The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. (indiebound.org)
  • Harvey Mudd students interested in the interface between biology, mathematics, and computer science may pursue the Mathematical and Computational Biology Major, which is jointly administered by the biology, mathematics, and computer science departments. (hmc.edu)
  • Students who choose this major become immersed in the scientific and intellectual cultures of biology, computer science, and mathematics, and the major is sufficiently flexible to allow students to concentrate in a particular area of interest. (hmc.edu)
  • Students in this major have one advisor from the biology department and one advisor from either the mathematics or computer science departments. (hmc.edu)
  • Established in 2007 by Robert F. Murphy as the Lane Center for Computational Biology with funding from Raymond J. Lane and Stephanie Lane, CBD became a department within the School of Computer Science in 2016. (wikipedia.org)
Center for Com1
  • The Center for Computational Biology has wide-ranging experience in creating custom scientific software. (scripps.edu)
Faculty2
  • Allen School faculty and students collaborate with researchers in biology and medicine on a wide range of computational problems that will ultimately enable us to understand complex biological systems. (washington.edu)
  • Undergraduate and graduate students work alongside expert faculty researchers to use cutting-edge, quantitative techniques to increase our understanding of biology and translate this knowledge into meaningful solutions. (wpi.edu)
Content1
  • Content: Basic Background material in Biology. (bio.net)
Discipline1
  • Candidates should have a PhD in computational biology or a related discipline, and a strong background in bioinformatics, machine learning, and statistics, as well as an interest in the biological processes that drive aging. (genomeweb.com)
Protein2
  • Such computational methods devoted to the interpretation of protein variants will expand our knowledge on the mechanisms by which mutations contribute to diseases, including cancer. (bsc.es)
  • Biology of the microtubule-associated protein tau. (plos.org)
Systems23
  • Due to the availability of dense 3D measurements via technologies such as magnetic resonance imaging (MRI), computational anatomy has emerged as a subfield of medical imaging and bioengineering for extracting anatomical coordinate systems at the morphome scale in 3D. (wikipedia.org)
  • Computational biomodeling is a field concerned with building computer models of biological systems. (wikipedia.org)
  • Computational biomodeling aims to develop and use visual simulations in order to assess the complexity of biological systems. (wikipedia.org)
  • To tackle such problems we also develop new technical methods and systems such as KBase (the Department of Energy Systems Biology Knowledgebase), and work with researchers at the Oak Ridge Leadership Computing Facility to develop exascale applications that run on some of the world's fastest supercomputers. (ornl.gov)
  • The Neural Systems Laboratory aims to advance our understanding of the brain using computational models and simulations, and apply this knowledge to the task of building intelligent robotic systems and brain-computer interfaces (BCIs). (washington.edu)
  • This book constitutes the refereed proceedings of the 6th International Conference on Computational Methods in Systems Biology, CMSB 2008, held in Rostock, Germany, in September 2008. (springer.com)
  • Computational Biology is the development of quantitative models of biological systems. (wpi.edu)
  • My name is Hans van Beek and I am a computational systems biologist at the Vrije Universiteit Amsterdam. (hccnet.nl)
  • A main goal of the laboratory of Systems and Synthetic Biology is to gain a systems understanding of societal relevant microorganisms and microbial ecosystems and to translate this knowledge into applications of biotechnological, medical and environmental interest. (wur.nl)
  • It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. (wiley-vch.de)
  • Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the applications of computational systems biology. (wiley-vch.de)
  • and describes state-of-the-art software tools for systems biology. (wiley-vch.de)
  • 1 Advances in Computational Systems Biology (Huma M. Lodhi). (wiley-vch.de)
  • 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness (Jeremy Gunawardena). (wiley-vch.de)
  • Computational systems biology is the term that we use to describe computational methods to identify, infer, model, and store relationships between the molecules, pathways, and cells (''systems'') involved in a living organism. (google.de)
  • Based on this definition, the field of computational systems biology has been in existence for some time. (google.de)
  • Two events have occurred to bring the field of computational systems biology to theforefront. (google.de)
  • Integration of the different datasets through computational methods is required to extract biological information that is relevant from a systems biology perspective. (ingentaconnect.com)
  • The Microbial Systems and Computational Biology group aims to understand the distributions of functions that natural microbial communities exhibit at different scales. (anl.gov)
  • An introduction to systems biology: design principles of biological circuits. (southampton.ac.uk)
  • The burgeoning fields of complex systems analysis and computational biology offer researchers a pathway towards addressing the Translational Dilemma. (worldcat.org)
  • Praise for the first edition: … superb, beautifully written and organized work that takes an engineering approach to systems biology. (routledge.com)
  • Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. (routledge.com)
Academics1
  • Read More at: https://www.wpi.edu/academics/departments/bioinformatics-computational-biology/m. (wpi.edu)
Advances1
  • A team led by professor Rajesh Rao published the results of a study that employs computational methods to explain human choices in group decision-making in Science Advances . (washington.edu)
Theoretical methods1
  • In this chapter, an overview is presented of theoretical methods used in computational enzymology to calculate potential energy profiles and barrier heights, potentials of mean force, two-dimensional free energy surfaces, minimum free energy paths or rate constants with inclusion of quantum nuclear effects. (rsc.org)
Algorithmic design2
  • Computational Biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools. (brown.edu)
  • Some programming and algorithmic design techniques are introduced and discussed in terms of computational and space complexity: iterative, recursive, divide et impera, greedy, dynamic programming. (unibo.it)
Program3
  • The Pre-College Computational Biology program offers an unparalleled experience for high school students to explore this relationship in a university setting. (cmu.edu)
  • The program seeks to achieve two goals: 1) to develop an understanding of the issues associated with developing biologically meaningful computational models, and 2) to give students the broad-based education that is needed to create a set of models directed towards solving a practical biomedical problem. (fsu.edu)
  • The branch also collaborates with the National Science Foundation to support a program in mathematical biology. (nih.gov)
Techniques1
  • It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. (indiebound.org)
Master's1
  • Dr. Eberhard O. Voit studied biology and mathematics at Cologne University, Germany, where he received Master's degrees in biology and mathematics, as well as a Ph.D. in developmental and theoretical biology. (elsevier.com)
How Etsy Alienated Its Crafters and Lost Its Soul | Technology | Computational biology, Science, Fungi
How Etsy Alienated Its Crafters and Lost Its Soul | Technology | Computational biology, Science, Fungi (pinterest.com)
Quantitative and Computational Biology - Carbon Mitigation Initiative
Quantitative and Computational Biology - Carbon Mitigation Initiative (cmi.princeton.edu)
Pharmacokinetic & Physiologically Based Pharmacokinetic (PBPK) Analysis | Epidemiology & Computational Biology | Capabilities |...
Pharmacokinetic & Physiologically Based Pharmacokinetic (PBPK) Analysis | Epidemiology & Computational Biology | Capabilities |... (exponent.com)
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression | Nature Biotechnology
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression | Nature Biotechnology (nature.com)
For Researchers
For Researchers (nlm.nih.gov)
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Get MATLAB for Primary and Secondary Schools - MATLAB & Simulink (mathworks.com)
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Parallel Computing Toolbox - MATLAB (mathworks.com)
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Bioinformatics Toolbox - MATLAB (mathworks.com)
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COMPUTATIONAL SYSTEMS BIOLOGY LAB. (csblab.or.kr)
Development of a Bi-Layered Cryogenic Electrospun Polylactic Acid Scaffold to Study Calcific Aortic Valve Disease in a 3D Co...
Development of a Bi-Layered Cryogenic Electrospun Polylactic Acid Scaffold to Study Calcific Aortic Valve Disease in a 3D Co... (papers.ssrn.com)
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Mathematical & Computational Biology | Series | Springer (springer.com)
Microsoft Research Lab - New England - Microsoft Research
Microsoft Research Lab - New England - Microsoft Research (microsoft.com)
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Lecture 2 - Biology for Computer Scientists - YouTube (youtube.com)
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Table of Contents - October 23, 2018, 115 (43) | PNAS (pnas.org)
Table of Contents - December 26, 2017, 114 (52) | PNAS
Table of Contents - December 26, 2017, 114 (52) | PNAS (pnas.org)
Table of Contents - August 21, 2018, 115 (34) | PNAS
Table of Contents - August 21, 2018, 115 (34) | PNAS (pnas.org)
Table of Contents - June 20, 2017, 114 (25) | PNAS
Table of Contents - June 20, 2017, 114 (25) | PNAS (pnas.org)
Table of Contents - May 20, 2014, 111 (20) | PNAS
Table of Contents - May 20, 2014, 111 (20) | PNAS (pnas.org)
Table of Contents - August 21, 2012, 109 (34) | PNAS
Table of Contents - August 21, 2012, 109 (34) | PNAS (pnas.org)
Table of Contents - May 31, 2011, 108 (22) | PNAS
Table of Contents - May 31, 2011, 108 (22) | PNAS (pnas.org)
Table of Contents - September 13, 2011, 108 (37) | PNAS
Table of Contents - September 13, 2011, 108 (37) | PNAS (pnas.org)
Table of Contents - March 20, 2018, 115 (12) | PNAS
Table of Contents - March 20, 2018, 115 (12) | PNAS (pnas.org)
Table of Contents - January 30, 2018, 115 (5) | PNAS
Table of Contents - January 30, 2018, 115 (5) | PNAS (pnas.org)
Table of Contents - October 08, 2013, 110 (41) | PNAS
Table of Contents - October 08, 2013, 110 (41) | PNAS (pnas.org)
Table of Contents - August 15, 2017, 114 (33) | PNAS
Table of Contents - August 15, 2017, 114 (33) | PNAS (pnas.org)
Areas of Study | Princeton University
Areas of Study | Princeton University (princeton.edu)
Table of Contents - October 24, 2017, 114 (43) | PNAS
Table of Contents - October 24, 2017, 114 (43) | PNAS (pnas.org)
Table of Contents - January 16, 2018, 115 (3) | PNAS
Table of Contents - January 16, 2018, 115 (3) | PNAS (pnas.org)
Table of Contents - July 24, 2018, 115 (30) | PNAS
Table of Contents - July 24, 2018, 115 (30) | PNAS (pnas.org)
Biomedical Sciences | Book | English | Springer
Biomedical Sciences | Book | English | Springer (springer.com)