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.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
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.
A social science dealing with group relationships, patterns of collective behavior, and social organization.
Sequential operating programs and data which instruct the functioning of a digital computer.
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.
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-based representation of physical systems and phenomena such as chemical processes.
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.
The systematic study of the complete DNA sequences (GENOME) of organisms.
Specific languages used to prepare computer programs.
One of the BIOLOGICAL SCIENCE DISCIPLINES concerned with the origin, structure, development, growth, function, genetics, and reproduction of animals, plants, and microorganisms.
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.
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.
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.
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)
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.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
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 containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.
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.
The portion of an interactive computer program that issues messages to and receives commands from a user.
Methods for determining interaction between PROTEINS.
A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.
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.
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.
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.
Organized activities related to the storage, location, search, and retrieval of information.
Databases devoted to knowledge about specific genes and gene products.
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.
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
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 used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.
The protein complement of an organism coded for by its genome.
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.
A discipline concerned with studying biological phenomena in terms of the chemical and physical interactions of molecules.
The field of biology which deals with the process of the growth and differentiation of an organism.
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.
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.
The relationships of groups of organisms as reflected by their genetic makeup.
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.
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.
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.
A field of biological research combining engineering in the formulation, design, and building (synthesis) of novel biological structures, functions, and systems.
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).
The process of cumulative change at the level of DNA; RNA; and PROTEINS, over successive generations.
Processes involved in the formation of TERTIARY PROTEIN STRUCTURE.
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.
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.
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.
Endogenous substances, usually proteins, which are effective in the initiation, stimulation, or termination of the genetic transcription process.
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)

... has assisted evolutionary biology by: Using DNA data to reconstruct the tree of life with computational ... Some notable examples include Journal of Computational Biology and PLOS Computational Biology, a peer-reviewed open access ... While evolutionary computation is not inherently a part of computational biology, computational evolutionary biology is a ... "The Sub-fields of Computational Biology". Ninh Laboratory of Computational Biology. 2013-02-18. Retrieved 2022-04-18. Kitano, ...
Galaxy aims to give biomedical researchers access to computational biology without also requiring them to understand computer ... and transparent computational research in the life sciences". Genome Biology. 11 (8): R86. doi:10.1186/gb-2010-11-8-r86. PMC ... Computational biology is a specialized domain that often requires knowledge of computer programming. ... and data and analysis persistence and publishing platform that aims to make computational biology accessible to research ...
Official website PLOS Computational Biology - List of quick tips articles PLOS Computational Biology - List of ten simple rules ... PLOS Computational Biology is a monthly peer-reviewed open access scientific journal covering computational biology. It was ... Bourne PE (August 2006). "One year of PLoS Computational Biology". PLOS Computational Biology. 2 (8): e111. Bibcode:2006PLSCB ... PLoS Computational Biology meets Wikipedia". PLOS Computational Biology. 8 (3): e1002446. Bibcode:2012PLSCB...8E2446W. doi: ...
The Journal of Computational Biology is a monthly peer-reviewed scientific journal covering computational biology and ... Bioinformatics and computational biology journals, Monthly journals, All stub articles, Bioinformatics stubs, Biology journal ... "Journal of Computational Biology". 2018 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2019. " ... Since 1997, authors of accepted proceedings papers at the Research in Computational Molecular Biology (RECOMB) conference have ...
... is a peer-reviewed scientific journal published by Elsevier covering all areas of ... Bioinformatics and computational biology journals, Publications established in 1976, English-language journals, Elsevier ... "Biology" and 36th out of 99 journals in the category "Computer Science, Interdisciplinary Applications" "Journals Ranked by ... computational life sciences. The current editor-in-chief are Wentian Li (The Feinstein Institute for Medical Research) and ...
... computational biology, genomics, computational structural biology, and systems biology. The conference is organized biannually ... 2021 [BC]2 Basel Computational Biology Conference 2019 [BC]2 Basel Computational Biology Conference "Big Data in Molecular ... "Basel Computational Biology Conference 2004". bc2.ch. Retrieved 2020-02-14. "Basel Computational Biology Conference 2003". bc2. ... 2 Basel Computational Biology Conference 2015 [BC]2 Basel Computational Biology Conference. 2013 "Genetic Variation + Human ...
The International Society for Computational Biology (ISCB) is a scholarly society for researchers in computational biology and ... alongside PLOS Computational Biology. PLOS Computational Biology is an open-access, peer-reviewed journal published monthly by ... "International Society for Computational Biology Honors Dana Pe'er with Top Bioinformatics/Computational Biology Award for 2014 ... "The International Society for Computational Biology 10th Anniversary". PLOS Computational Biology. 3 (6): e135. doi:10.1371/ ...
Papers not selected for publication in PLOS Computational Biology were published in edited form in the Journal of Computational ... Computational science, Bioinformatics, Computer science conferences, Biology conferences, Computational fields of study). ... Research in Computational Molecular Biology (RECOMB) is an annual academic conference on the subjects of bioinformatics and ... 2014). Research in Computational Molecular Biology 18th Annual International Conference, RECOMB 2014, Pittsburgh, PA, USA, ...
The CAS-MPG Partner Institute for Computational Biology (PICB) was jointly established by the Chinese Academy of Sciences (CAS ... Partner Institute for Computational Biology (Articles lacking reliable references from May 2008, All articles lacking reliable ... The institute focuses its research on the interface between theoretical and experimental molecular and cell biology. The ... Cell biology, Organizations based in Shanghai, Bioinformatics organizations). ...
... computational biology, genomics, computational structural biology, and systems biology. ECCB is organized annually in different ... Biology in Europe, Computational science, Bioinformatics, Computer science conferences, Biology conferences, Information ... ECCB was formed with the intent of providing a European conference focusing on advances in computational biology and their ... Linial, M.; Mesirov, J. P.; Morrison Mckay, B. J.; Rost, B. (2008). "ISMB 2008 Toronto". PLOS Computational Biology. 4 (6): ...
"B.S. in Computational Biology , Computational Biology Department". Computational Biology Department , Carnegie Mellon ... "Minor in Computational Biology-Computational Biology Department - Carnegie Mellon University". cbd.cmu.edu. Retrieved 2016-03- ... Program in Computational Biology (with University of Pittsburgh) M.S. in Computational Biology (joint with the Department of ... Program in Computational Biology (CPCB)". Retrieved 2018-03-06. University, Carnegie Mellon. "M.S. in Computational Biology - ...
The Journal of Bioinformatics and Computational Biology was founded in 2003 and is published by World Scientific. The journal ... Bioinformatics and computational biology journals, World Scientific academic journals). ...
Facilitate access to bioinformatics and computational biology infrastructure. Promote bioinformatics and computational biology ... It is an affiliated regional group of the International Society for Computational Biology (ISCB). The Society sees itself as ... It also promotes the standing of African bioinformatics and computational biology in the global arena through liaison and ... The society represents the bioinformatics and computational biology community in Africa and will be the most respected and ...
... , also known as SCFBio IIT Delhi, is a center for ... The Supercomputing Facility for Bioinformatics and Computational Biology, (SCFBio), IIT Delhi, was established in July 2002 ... Computational Biology in Indian Institute of Technology, Delhi. This facility was established in 2002 under the aegis of the ... IIT Delhi creating a strong collaboration between computational and experimental biology. SCFBio, IIT Delhi School of ...
"Highlights of the 1st Student Symposium on Computational Genomics". Genomics and Computational Biology. 2: 59. doi:10.18547/gcb ... Computational biology, Biology societies, Bioinformatics organizations, Cybernetics, Computer science institutes, Biological ... 2013). "ISCB Computational Biology Wikipedia Competition". PLOS Comput Biol. 9 (9): e1003242. Bibcode:2013PLSCB...9E3242B. doi: ... Abeel T, de Ridder J, Peixoto L (2009). "Highlights from the 5th International Society for Computational Biology Student ...
The following is a list of awards in the fields of bioinformatics and computational biology. ASBMB DeLano Award for ... "members of the computational biology community who are more than 12 to 15 years post-degree and have made major contributions ... List of biology awards List of computer-related awards (Articles with short description, Short description is different from ... to the field of computational biology through research, education, service, or a combination of the three" Research Parasite ...
The Asian Young Researchers Conference on Computational and Omics Biology (AYRCOB) is a conference series for young researchers ... Japan-Taiwan Young Researchers Conference on Computational and Systems Biology, 2008 was held at National Tsing Hua University ... "AYRCOB - 11th Asian Young Researchers Conference on Computational and Omics Biology". Retrieved 12 January 2022. "HOME , 9th ... "AYRCOB , 10th Asian Young Researchers Conference on Computational and Omics Biology". Retrieved 12 January 2022. " ...
The Department of Computational Biology (DCB) at the University of Pittsburgh and the Computational Biology Department at ... Vries Chair of the Department of Computational Biology at Pitt, and Dr. Robert F. Murphy, Director of the Computational Biology ... The Joint CMU-Pitt Ph.D Program in Computational Biology (CPCB) is an interdisciplinary graduate training program in ... Program in Computational Biology (Articles needing additional references from September 2022, All articles needing additional ...
The Tri-Institutional Training Program in Computational Biology and Medicine or Tri-I CBM is a PhD program that exists as a ... "Students train in computational biology, medicine in TIRP collaboration". Cornell Chronicle. 2003. Retrieved 2007-07-25. Tri- ... The focus of study is on the various forms of mathematical and computational modeling of biological systems, particularly as ...
International Society for Computational Biology. Archived from the original on 2017-03-20. (Bioinformaticians). ... This pages lists people elected ISCB Fellow by the International Society for Computational Biology (ISCB). David Haussler David ...
This list is a subsection of the List of members of the National Academy of Sciences, which includes approximately 2,000 members and 350 foreign associates of the United States National Academy of Sciences, each of whom is affiliated with one of 31 disciplinary sections. Each person's name, primary institution, and election year are given. Members directory Search form for members directory (Articles with short description, Short description is different from Wikidata, Lists of members of the National Academy of Sciences ...
In Silico Biology. 5 (5-6): 581-92. PMID 16610135. Tsirigos A, Rigoutsos I (2005). "A new computational method for the ... Research in Computational Molecular Biology. Lecture Notes in Computer Science. Vol. 4955. pp. 315-330. doi:10.1007/978-3-540- ... Journal of Computational Biology. 14 (4): 517-35. CiteSeerX 10.1.1.121.7834. doi:10.1089/cmb.2007.A010. PMID 17572027. Goldman ... Journal of Computational Biology. 18 (9): 1087-114. CiteSeerX 10.1.1.418.3658. doi:10.1089/cmb.2011.0066. PMID 21899418. Bansal ...
Fiser, A. (2010). "Template-based protein structure modeling". Computational Biology. Methods in Molecular Biology. Vol. 673. ... Methods and computational strategies". Computational Biology and Chemistry. 53: 251-276. doi:10.1016/j.compbiolchem.2014.10.001 ... Protein structure prediction is one of the most important goals pursued by computational biology; and it is important in ... Computational Biology and Chemistry. 31 (5-6): 389-92. doi:10.1016/j.compbiolchem.2007.08.010. PMID 17888742. Momen-Roknabadi A ...
ISBN 978-0-8247-0117-8. (Computational biology). ...
Computational Biology. Vol. 8 (1 ed.). Springer. pp. 133-144. ISBN 978-1-84800-254-8. Richard GF. The Startling Role of ...
Computational Biology. Vol. 8 (1 ed.). Springer. pp. 133-144. ISBN 978-1-84800-254-8. Ye, Congting; Ji, Guoli; Liang, Chun ( ... 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent ... Rice, P; Longden, I; Bleasby, A (June 2000). "EMBOSS: the European Molecular Biology Open Software Suite". Trends in Genetics. ... EMBOSS is the "European Molecular Biology Open Software Suite" which runs on UNIX and UNIX-like operating systems. ...
Computational Biology. Vol. 6. Springer London. pp. 327-349. doi:10.1007/978-1-84628-885-2_16. ISBN 978-1-84628-884-5. ... 2016-05-04). "The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology". ... 2005). "Relations in biomedical ontologies". Genome Biology. 6 (5): R46. doi:10.1186/gb-2005-6-5-r46. PMC 1175958. PMID ... Systematic Biology. 66 (5): 754-768. doi:10.1093/sysbio/syw108. PMID 28123116. Zheng J, Harris MR, Masci AM, Lin Y, Hero A, ...
Computational Biology. Vol. 16. Springer. doi:10.1007/978-1-84996-474-6. ISBN 978-1-84996-473-9. Kristensen, L. M.; Westergaard ... Boolean differential calculus Business process modeling Computational biology Concurrent programming Control engineering Data ... Koch, Ina; Reisig, Wolfgang; Schreiber, Falk (2011). Modeling in Systems Biology - The Petri Net Approach. ... Although backwards-compatible models do not extend the computational power of Petri nets, they may have more succinct ...
... computational biology; human-machine communication & natural language understanding; intentions, beliefs & trust; knowledge ...
Computational chemistry Protein tyrosine phosphatase India portal Biology portal Under the guidance of Tom Blundell, a Knight ... "CDFD :: Computational Biology :: Dr. U S Raghavender". cdfd.org.in. 26 December 2017. Retrieved 26 December 2017. (CS1 maint: ... She also serves as a collaborator at the Centre for Cardiovascular Biology and Disease of the Institute for Stem Cell Biology ... Known for computational studies in the field of Protein Science, Sowdhamini is also associated with the Institute for Stem Cell ...
PLOS Computational Biology. 10 (7): e1003716. arXiv:1309.7272. Bibcode:2014PLSCB..10E3716T. doi:10.1371/journal.pcbi.1003716. ...
It is a multidisciplinary research field at the intersection of virology, synthetic biology, computational biology, and DNA ... Synthetic biology, All stub articles, Virus stubs). ...
He received both his Diploma (Biology - 1993) and Ph.D (1997) working with Peter M. Kroneck at the University of Konstanz. ... Neese, Frank (2012). "The ORCA program system". WIREs Computational Molecular Science. 2: 73-78. doi:10.1002/wcms.81. S2CID ... Computational chemists, 21st-century German chemists, Scientists from Wiesbaden). ...
Databases and computational tools for mimotopes have been an important part of phage display study. Databases, programs and web ... Initial work was done by laboratories at the MRC Laboratory of Molecular Biology (Greg Winter and John McCafferty), the Scripps ... Phage display technology was further developed and improved by groups at the Laboratory of Molecular Biology with Greg Winter ... Some of the fast and efficient computational methods are available online. Directed evolution protein-protein interactions PelB ...
She is a Professor Emerita of Computer and Information Science and a member of the Computational Science Institute at the ... Developmental Biology. 8 (5): 477-488. doi:10.1006/scdb.1997.0173. PMID 9441953. Retrieved 10 November 2017. Douglas, Sarah A ... "Faculty". Computational Science. University of Oregon. "ZFIN db Information". wiki.zfin.org. Zebrafish Information Network. ...
"Glimmer: Microbial Gene-Finding System". Johns Hopkins University - Center for Computational Biology. Delcher, Arthur; Bratke, ... Burge, Christopher; Karlin, Samuel (1998). "Finding the Genes in Genomic DNA". Current Opinion in Structural Biology. 8 (3): ... Journal of Molecular Biology. 190 (2): 159-65. doi:10.1016/0022-2836(86)90289-5. PMID 3641921. Durbin, Richard (23 April 1998 ... Journal of Molecular Biology. 268 (1): 78-94. CiteSeerX 10.1.1.115.3107. doi:10.1006/jmbi.1997.0951. PMID 9149143. ...
Masters, Paul S. (2006). "The Molecular Biology of Coronaviruses". Advances in Virus Research. 66: 193-292. doi:10.1016/S0065- ... Cagliani, Rachele; Forni, Diego; Clerici, Mario; Sironi, Manuela (June 2020). "Computational Inference of Selection Underlying ... PLOS Biology. 18 (8): e3000815. doi:10.1371/journal.pbio.3000815. PMC 7433897. PMID 32760062. Zúñiga, Sonia; Cruz, Jazmina L. G ... Molecular Biology and Evolution. 39: msab292. doi:10.1093/molbev/msab292. ISSN 0737-4038. PMC 8549283. PMID 34638137. ...
PLOS Computational Biology. 1 (7): e67. Bibcode:2005PLSCB...1...67S. doi:10.1371/journal.pcbi.0010067. PMC 1309704. PMID ... In biology, a sequence motif is a nucleotide or amino-acid sequence pattern that is widespread and usually assumed to be ... Biology portal Biomolecular structure Mammalian Motif Finder MochiView Multiple EM for Motif Elicitation Nucleic acid sequence ... doi:10.1007/978-3-642-04031-3_2. ISBN 978-3-642-04030-6. Schiller MR (2007). Minimotif miner: a computational tool to ...
... (born November 11, 1957) is a molecular biologist well-known for contributions to the biology of halophilic ... "Understanding the Adaptation of Halobacterium Species NRC-1 to Its Extreme Environment through Computational Analysis of Its ...
In April 2021, she published a paper in PLOS Computational Biology about how whiskers bend in an S shape when whisking and ... She was a computational neurobiology postdoc at Caltech and a bio-computing postdoc at the Jet Propulsion Lab. She joined the ...
In 1972 the journal was renamed Currents in Modern Biology: Bio Systems, which was shortened to BioSystems in 1974. Previous ... BioSystems is a monthly peer-reviewed scientific journal covering experimental, computational, and theoretical research that ... links biology, evolution, and the information processing sciences. It was established in 1967 as Currents in Modern Biology by ...
Methods in Molecular Biology. Vol. 2093. New York, NY: Springer US. pp. 173-201. doi:10.1007/978-1-0716-0179-2_13. ISBN 978-1- ... Several computational methods to detect imprinting genes in plants from reciprocal crosses have been proposed. Bookmarking ... Peters J (August 2014). "The role of genomic imprinting in biology and disease: an expanding view". Nature Reviews Genetics. 15 ... 2011). "Genome-wide assessment of imprinted expression in human cells". Genome Biology. 12 (3): R25. doi:10.1186/gb-2011-12-3- ...
Crandall studies the computational biology, population genetics, and bioinformatics of a variety of organisms, from crustaceans ... In 2012, Crandall was recruited by George Washington University to found the Computational Biology Institute, where he has ... "Keith A. Crandall, Professor, Director of Computational Biology Institute, Director of Genomics Core". Publichealth.gwu.edu. ... He then joined the Departments of Integrative Biology and Microbiology and Molecular Biology at Brigham Young University as an ...
The BSF focuses on bioenergy, environmental and soil remediation and includes systems biology, microbial and cellular biology ... The privately funded Computational Sciences Facility and Biological Sciences Facility house about 310 staff who support PNNL's ... Biology and biochemistry Chemistry Clinical medicine Engineering Environment and ecology Geosciences Materials science ... high-performance computing and computational chemistry software, mass spectrometry, high-field magnetic resonance, and ...
The institute is equipped with facilities for modern biology research. They include lab-to-pilot-scale fermenter of many ... Computational Resource for Drug Discovery) is a module of the in silico module of Open Source Drug Discovery (OSDD). The CRDD ... yeast biology, bioinformatics, microbial systematics, exploitation of microbial diversity for bioactives and enzymes for ...
Levine, HA; Nilsen-Hamilton, M (2007). "A mathematical analysis of SELEX". Computational Biology and Chemistry. 31 (1): 11-35. ... "Roles of RNA in Cells - RNAi Biology - RNA Therapeutics Institute at UMass Medical School - Worcester". www.umassmed.edu. ... "Role of RNA in Protein Synthesis - RNAi Biology - RNA Therapeutics Institute at UMass Medical School - Worcester". www.umassmed ...
International Conference on Algorithms for Computational Biology. Lecture Notes in Computer Science. pp. 145-157. doi:10.1007/ ...
Bull, G.; Garofalo, J.; Hguyen, N. (2020), "Thinking about computational thinking: Origins of computational thinking in ... They allow exploring emergent phenomena and come with many experiments in social studies, biology, physics, and other areas. ...
... 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, ...
PLOS Computational Biology. 5 (4): e1000353. arXiv:0909.3893. Bibcode:2009PLSCB...5E0353H. doi:10.1371/journal.pcbi.1000353. ...
Women computational biologists, Computational biologists, Fellows of the International Society for Computational Biology). ... Lewitter is a strong advocate for bioinformatics education, and was education editor of PLOS Computational Biology from 2005 to ... Lewitter was awarded the 2017 Outstanding Contributions to ISCB Award by the International Society for Computational Biology. ... "Lewitter named International Society for Computational Biology Fellow". Whitehead Institute of MIT. Retrieved 13 July 2022. ...
January 2022). "Analytical kinetic model of native tandem promoters in E. coli". PLOS Computational Biology. 18 (1): e1009824. ... PLOS Computational Biology. 3 (4): e72. Bibcode:2007PLSCB...3...72Y. doi:10.1371/journal.pcbi.0030072. PMC 1853124. PMID ... Molecular Cell Biology. 16 (3): 155-166. doi:10.1038/nrm3951. PMC 4963239. PMID 25693131. Mikhaylichenko O, Bondarenko V, ... BMC Systems Biology. 5 (Suppl 1): S2. doi:10.1186/1752-0509-5-S1-S2. PMC 3121118. PMID 21689477. Shu J, Jelinek J, Chang H, ...
Structural Biology and Bioinformatics (PR PS BB 2011) Pontius Jr, Robert Gilmore; Si, Kangping (2014). "The total operating ... Conference of the European Chapter of the Association for Computational Linguistics (EACL2012) Joint ROBUS-UNSUP Workshop. ...
... philosophy of biology, philosophy of mind, and so on. Pancomputationalism: On this view, computational and informational ... or a computational system, if computation is the same as information processing)? Numerous philosophers and other thinkers have ... anything in the world could be modeled and represented as a computational system, and any process could be simulated ... a trend has begun in philosophy to apply computational modeling schemes to questions in logic, epistemology, philosophy of ...
Portal: Biology (Articles with short description, Short description is different from Wikidata, All articles with vague or ... Frontiers in Computational Neuroscience. 11: 85. doi:10.3389/fncom.2017.00085. PMC 5609115. PMID 28970791. Forrest MD (December ... January 2006). "Binding of Src to Na+/K+-ATPase forms a functional signaling complex". Molecular Biology of the Cell. 17 (1): ... Molecular Biology of the Cell. 16 (9): 4034-45. doi:10.1091/mbc.E05-04-0295. PMC 1196317. PMID 15975899. Tian J, Cai T, Yuan Z ...
His research group developed and distributed software for computational structural biology, which Schulten used to make a ... PLOS Computational Biology. 6 (9): e1000939. Bibcode:2010PLSCB...6E0939L. doi:10.1371/journal.pcbi.1000939. PMC 2944783. PMID ... Schulten's research group has become well known for the development of software for computational structural biology, including ... McFadden, Johnjoe; Al-Khalili, Jim (2015). Life on the Edge: The Coming of Age of Quantum Biology. Crown. pp. 171-179. ISBN ...
The initial promise of cybernetics was that it would revolutionise the mathematical biologies (a blanket term that includes ... Computational cybernetics is the integration of cybernetics and computational intelligence techniques. Though the term ... Cybercognition Computational Heuristic Intelligence "Computational Cybernetics - IEEE SMC". www.ieeesmc.org. Retrieved 2017-10- ... Furthermore, computational cybernetics covers not only mechanical, but biological (living), social and economical systems. To ...
Advances in Experimental Medicine and Biology. Vol. 758. pp. 115-22. doi:10.1007/978-94-007-4584-1_16. ISBN 978-94-007-4583-4. ... Computational Neuroscience: Theoretical Insights into Brain Function. Progress in Brain Research. Vol. 165. pp. 201-20. doi: ...
... the International Society for Computational Biology, the Confederation of Open Access Repositories and prominent open science ...
Sankoff, David (2000). "The early introduction of dynamic programming into computational biology". Bioinformatics. 16 (1): 41- ... Another, report, with William Beyer, Temple F. Smith, and M. L. Stein, titled "Metrics in Biology", introduced new ideas about ... Beyer, William A.; Temple F. Smith; M. L. Stein; Stanislaw M. Ulam (August 1972). "Metrics in Biology, an Introduction" (PDF). ... Ulam's work on non-Euclidean distance metrics in the context of molecular biology made a significant contribution to sequence ...
... collaborations and relationships for Computational Biology Institute (IBC) ... Computational Biology Institute (IBC) Institut de Biologie Computationnelle (IBC) France Page navigation. * Research ... Computational Biology Institute (IBC) is a research collaboration whose article contributions are accrued to its participating ... Research collaboration: Computational Biology Institute (IBC) is a research collaboration whose article contributions are ...
Camps, P, Gomez E, Munoz-Torrero D, Badia A, Clos M V, Curutchet C, Munoz-Muriedas J, Luque FJ. 2006. Binding of 13-amidohuprines to acetylcholinesterase: Exploring the ligand-induced conformational change of the Gly117-Gly118 peptide bond in the oxyanion hole. Journal of Medicinal Chemistry. 49(23):6833-6840. Abstract ...
Das Deutsche Krebsforschungszentrum hat die Aufgabe, die Mechanismen der Krebsentstehung systematisch zu erforschen und Risikofaktoren f r Krebserkrankungen zu erfassen. Aus den Ergebnissen dieser grundlegenden Arbeiten sollen neue Ans tze zur Vorbeugung, Diagnostik und Therapie entwickelt werden.
Olfaction (the sense of smell) is the oldest of our sensory modalities and has been used for millions of years for animals to find mates, find food, avoid predators, etc. In a large multi-investigator collaboration, we have begun to try to understand the algorithms animals use to navigate complex odor landscapes. I will describe several simple algorithms that use local spatial and temporal information about the odor to locate its source. The algorithms fall into two simple categories: differences between two sensors and differences between two different samples. With data from trail-following and spot finding by mice, I attempt to assess the different strategies and how parameters in the strategies affect performance. I also test the algorithms on odor plumes imaged by my collaborators and also in a mobile robot. Underlying these simple algorithms are some interesting nonlinear dynamics. I will discuss the continuous dynamics of binaral search where the organism uses the concentration ...
OpenEye will be attending and presenting at the Computational Chemical Biology Conference. ... 2015-08 , Computational Chemical Biology Conference , Cairns, AU Written by: OpenEye Scientific ... OpenEye will be attending and presenting at the Computational Chemical Biology Conference. ... Many such properties involve complex biology and are poorly understood and difficult to reproducibly characterize ...
Anthony N Brady Professor of Pathology; Co-Director of Graduate Studies, Computational Biology and Bioinformatics ... Sterling Professor of Molecular, Cellular, and Developmental Biology and Professor of Molecular Biophysics and Biochemistry; ... Associate Professor of Molecular, Cellular and Developmental Biology and of Physics and of Neuroscience ...
Home page for Biostatistics and Computational Biology in the Department of Population Health at University of Otago, ... The Biostatistics and Computational Biology Unit (BCBU) is comprised of a nationally recognised cluster of biostatisticians and ... computational biology specialists within the University of Otago, Christchurch, and affiliates.. The BCBU core competencies are ...
URMC / Department of Biostatistics and Computational Biology / People & Research / Faculty / Ashkan Ertefaie, PhD ... Dept of Biostatistics and Computational Biology. 265 Crittenden Boulevard, CU 420630 Rochester, New York 14642-0630. Office: ...
15th International Conference on Practical Applications of Computational Biology & Bioinformatics ... PACBB 2021 : PACBB21: 15th International Conference on Practical Applications of Computational Biology & Bioinformatics ... Systems Biology is a related research area that has been replacing the reductionist view that dominated Biology research in the ... The 15th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) aims to promote ...
... minds from diverse backgrounds to unlock the power of computation to solve research problems at the frontier of modern biology ... The Computational Biology curriculum changes from year to year and is subject to change as we continue to hone our program to ... The Pre-College Computational Biology program offers an unparalleled experience for high school students to explore this ... The question, then, is what to do with all this information? This is where computational biology flies to the rescue. ...
Roy and Diana Vagelos Division of Biology & Biomedical Sciences. Washington University in St. Louis ...
Data Scientist in Computational Biology. Kashif Sadiq Data Scientist in Computational Biology ...
Computational Biology is an active area within IBM Research, and researchers working on Computational Biology are members of a ... and external collaborators across the field of Computational Biology.. Computational Biology research at IBM spans life ... The current Computational Biology agenda covers areas of systems biology, bioinformatics & pattern discovery, biomolecular ... Details on the various Computational Biology research activities can be found on these pages:. *IBM Healthcare and Life ...
Center for Computational Molecular Biology Seminar Series Lecture. "Cooperativity Principles in Protein Folding, Entropic and ...
Center for Computational and Theoretical Biology. Klara-Oppenheimer-Weg 32. Campus Hubland Nord. 97074 Würzburg ... The common denominator of our projects is the use of computational and statistical methods to analyze large-scale data with the ...
Center for Bioinformatics and Computational Biology. 590 Avenue 1743, Suite 147. Newark, DE 19713, USA. Phone: 302-831-6173. ...
The Spencer and Warren labs at the University of Missouri are recruiting a postdoctoral scientist in computational biology. ... We are at the forefront of utilizing computational tools to answer questions of developmental biology and disease importance ... This individual will participate in and lead research projects using computational biology approaches to address questions ... Knowledge and experience in computational biology, bioinformatics, computer sciences, and related fields. Demonstrated ability ...
Our data science-based research groups work together to provide expertise in computational, statistical and machine-learning ... Researchers across the Institute increasingly use computational approaches to analyse high-resolution biological data on the ...
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Projects in Computational RNA Biology. *Area 1: Learning the Molecular Code of RNA Regulation ... Figure 4: Computational pipeline to detect and quantify circRNAs from rRNA-depleted total RNA-Seq data. Initial circRNA ... Area 3: Computational Toolbox. Our work builds on custom code and pipelines for the fast and efficient analysis of omics data. ... Using in-depth computational analysis, we recently reported a shift in fibroblast populations over time and trained a machine ...
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Join us for Computational Biology, an engaging project-based course designed to introduce high school students to the world of ... By the end of the course, students will be prepared for taking high school biology, AP biology, or AP Environmental Science in ... With a focus on molecular biology and real-life medical and biological scenarios, students will gain valuable skills in data ... Dont miss this opportunity to explore the intersection of biology and technology! ...
BioChemCoRe has evolved and is now a diverse outreach program in computational chemistry and biology that include local ... efforts.While the program has since expanded to include local students of both genders who are interested in computational ... significant opportunities to explore a variety of interests through work on projects ranging from the use of computational ... students of both genders who are interested in computational sciences. Our summer program allows ...
Different protocols based on Illumina high-throughput DNA sequencing and denaturing gradient gel electrophoresis (DGGE)-cloning were developed and applied for investigating hot spring related samples. The study was focused on three target genes: archaeal and bacterial 16S rRNA and mcrA of methanogenic microflora. Shorter read lengths of the currently most popular technology of sequencing by Illumina do not allow analysis of the complete 16S rRNA region, or of longer gene fragments, as was the case of Sanger sequencing. Here, we demonstrate that there is no need for special indexed or tailed primer sets dedicated to short variable regions of 16S rRNA since the presented approach allows the analysis of complete bacterial 16S rRNA amplicons (V1-V9) and longer archaeal 16S rRNA and mcrA sequences. Sample augmented with transposon is represented by a set of approximately 300 bp long fragments that can be easily sequenced by Illumina MiSeq. Furthermore, a low proportion of chimeric sequences was ...
Golson ML, Bush WS, Brissova M,. β-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However ... β-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However, the rigorous quantification of ... Computational Phenotyping Core *Our work with the Cleveland Louis Stokes Veterans Administration ...
  • PLoS Computational Biology, 9 (7),e1003149. (bvsalud.org)
  • The success of Bioinformatics in recent years has been prompted by research in Molecular Biology and Molecular Medicine in several initiatives. (wikicfp.com)
  • The 15th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, Bioinformatics, Chemoinformatics and Systems Biology. (wikicfp.com)
  • PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology. (wikicfp.com)
  • Candidates should have a strong background in computational biology, bioinformatics, and biostatistics, and should have prior experience manipulating massively parallel sequencing datasets. (who.int)
  • So, bioinformatics combines computer science and biology in order to make heads or tails out of all of this sequence data we're making. (cdc.gov)
  • The Spencer and Warren labs at the University of Missouri are recruiting a postdoctoral scientist in computational biology. (biostars.org)
  • The Biostatistics and Computational Biology Unit (BCBU) is comprised of a nationally recognised cluster of biostatisticians and computational biology specialists within the University of Otago, Christchurch, and affiliates. (otago.ac.nz)
  • Understand biological systems based on approaches derived from computer science, physics, mathematics, chemistry, and biology, supported by our expertise in these areas, and our unique position as leaders in information technology, high performance computing and simulations. (ibm.com)
  • This individual will participate in and lead research projects using computational biology approaches to address questions generated by those projects. (biostars.org)
  • Researchers across the Institute increasingly use computational approaches to analyse high-resolution biological data on the genes, proteins, cells and microbes in tissues, in health and disease. (ox.ac.uk)
  • Our data science-based research groups work together to provide expertise in computational, statistical and machine-learning approaches for the analysis of these rich experimental and clinical datasets. (ox.ac.uk)
  • Systems biology approaches provide a better understanding of the pathological mechanisms responsible for recurrent VTE. (bvsalud.org)
  • Novel approaches, including those from the field of systems biology, may yield therapeutic breakthroughs in T/HS and TBI in the near future. (who.int)
  • Systems Biology is a related research area that has been replacing the reductionist view that dominated Biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modeling, computer simulation and optimization. (wikicfp.com)
  • Computational Biology is an active area within IBM Research, and researchers working on Computational Biology are members of a designated CB Professional Interest Community (PIC). (ibm.com)
  • We are at the forefront of utilizing computational tools to answer questions of developmental biology and disease importance through creative use of big data and animal models to benefit biomedical and clinical research. (biostars.org)
  • Ongoing projects in our laboratories involve human and veterinary cancer, developmental biology of the uterus and placenta, and understanding of endometrial epithelial organoid and stromal fibroblast biology. (biostars.org)
  • Computational Biology Institute (IBC) is a research collaboration whose article contributions are accrued to its participating partner institutions . (nature.com)
  • The accumulation and exploitation of large-scale data bases prompts for new computational technology and for research into these issues. (wikicfp.com)
  • Empowering bright young minds from diverse backgrounds to unlock the power of computation to solve research problems at the frontier of modern biology. (teenlife.com)
  • The purpose of the PIC is connecting IBMers, working at IBM research labs worldwide, and external collaborators across the field of Computational Biology. (ibm.com)
  • Computational Biology research at IBM spans life sciences research at the interface of information technology and biology. (ibm.com)
  • For further information, contact [email protected] or read our computational biology WWW page, http://www.cse.ucsc/research/compbio/sam.html. (cdc.gov)
  • 1Bioinformatics and Computational Biology Research Center, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran. (who.int)
  • We conduct and support research in computational biology and computational health sciences. (medlineplus.gov)
  • In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on Computer Science/ Artificial Intelligence (CS/AI) techniques. (wikicfp.com)
  • The successful candidate will lead the analysis of multiple omics data (WGS, RNA-seq, 850k EPIC methylation arrays) to characterize these rare diseases using state of the art computational methods and interact with experts with different backgrounds such as computational biologists, geneticists, biologists, pathologists, and clinicians. (who.int)
  • Tomorrow's life scientists 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. (teenlife.com)
  • The common denominator of our projects is the use of computational and statistical methods to analyze large-scale data with the aim to understand how biological systems change over time. (uni-wuerzburg.de)
  • In fact, these methods have been helping in tasks related to knowledge discovery, modeling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted. (wikicfp.com)
  • The Pre-College Program in 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. (teenlife.com)
  • Molecular similarity, whether calculated from 1D, 2D or 3D properties, is one of the most widely used techniques in computational lead discovery. (eyesopen.com)
  • Many such properties involve complex biology and are poorly understood and difficult to reproducibly characterize experimentally. (eyesopen.com)
  • In order to do this, we need to use computational tools. (cdc.gov)
  • We will also consider applicants with a background in biology or medicine who have strong quantitative skills (including programming) and a keen interest in pursuing computational projects. (who.int)
  • Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism. (bvsalud.org)
  • The Pre-College Computational Biology program offers an unparalleled experience for high school students to explore this relationship in a university setting. (teenlife.com)
  • Our program is structured to allow students to appreciate the inherent synergy between experimentation and computational analysis in modern biology. (teenlife.com)
  • Computer science has revolutionized biology and medicine. (teenlife.com)
  • We will spend approximately half of each day of the program following a hackathon model, in which students will work in small groups to write programs solving computational problems, with hands-on guidance from the instructor and teaching assistants. (teenlife.com)
  • OpenEye will be attending and presenting at the Computational Chemical Biology Conference . (eyesopen.com)
  • Hidden Markov models in computational biology: * * Applications to protein modeling, JMB 235:1501-1531, Feb. 1994. (cdc.gov)
  • Resetting homeostasis in Gulf War Illness, a computational biology hypothesis tested in a translational mouse model. (cdc.gov)
  • The NIDCD Genomics and Computational Biology Core (GCBC) provides support for cutting edge high-throughput sequencing technologies to NIDCD and National Institute of Dental and Craniofacial Research (NIDCR) investigators on a collaborative basis. (nih.gov)
  • The Computational Biology & Genomics Core (CBGC) is involved in interdisciplinary research and institute-wide training by collaborating mainly with the laboratories in the NIA IRP, NIH. (nih.gov)
  • The Computational Biology & Genomics Core (CBGC) provides advice on experimental design and sample preparation, quality control of samples, data analysis, data sharing, and training. (nih.gov)
  • The terms thus include analysis of molecular sequence and structure, molecular function, cellular function, physiology, genomics, and genetics, as well as computational modeling of complex phenomena such as neural circuits and equilibrium phenomena, population biology, theoretical and mathematical biology, and the analysis of complex systems. (nih.gov)
  • The candidate will develop computational tools for genomics, transcriptomics, specifically for analysis of single cell gene expression data, ATAC sequencing, epigenomics, and metabolomics data. (nih.gov)
  • PREDOCTORAL TRAINING IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY Release Date: August 19, 1999 PA NUMBER: PAR-99-146 National Institute of General Medical Sciences PURPOSE The purpose of this program announcement is to announce the establishment of a new institutional predoctoral training grant program in the area of Bioinformatics and Computational Biology. (nih.gov)
  • This Program Announcement, "Predoctoral Training in Bioinformatics and Computational Biology" is related to one or more of the priority areas. (nih.gov)
  • RESEARCH TRAINING OBJECTIVES Background A workshop held on November 12, 1998, ( http://www.nih.gov/nigms/news/meetings/training.html ) to evaluate NIGMS- funded training programs identified bioinformatics and computational biology as research areas for which inadequate training programs exist. (nih.gov)
  • For the purpose of this announcement, bioinformatics and computational biology are defined broadly to include the use of theory, computer implementation and application to the full spectrum of basic research in the biomedical sciences. (nih.gov)
  • Teresa Przytycka, PhD, senior investigator in the Computational Biology Branch of the National Library of Medicine's (NLM's) National Center for Biotechnology Information, has been selected as a 2021 Fellow of the International Society for Computational Biology (ISCB). (nih.gov)
  • Research in the NCBI Computational Biology Branch (CBB) focuses on theoretical, analytical, and applied computational approaches to a broad range of fundamental problems in molecular biology and medicine. (nih.gov)
  • The research program in the Computational Biology Branch is carried out by Senior Investigators, tenure track Investigators, Staff Scientists, Postdoctoral Fellows, and students. (nih.gov)
  • The Biostatistics and Computational Biology Branch carries out basic and applied research dealing with statistical issues of relevance to environmental health. (nih.gov)
  • Members of the branch also advise institute scientists on computational, study design, database and statistical issues via both long-term and short-term collaboration in research projects throughout NIEHS. (nih.gov)
  • Let's meet Zhiyong Lu, PhD, a Senior Investigator for our National Center for Biotechnology Information (NCBI) Computational Biology Branch and member of the NLM Intramural Research Program. (nih.gov)
  • The next modern synthesis in biology will be driven by mathematical, statistical, and computational methods being absorbed into mainstream biological training, turning biology into a quantitative science. (nih.gov)
  • The candidate will work in collaboration with CDBL principal investigator (PI) labs on analysis and integration of bioinformatic and quantitative developmental biology data. (nih.gov)
  • The IRP develops and applies computational methods and approaches to a broad range of information problems in biology, biomedicine, and human health. (nih.gov)
  • The Cancer and Developmental Biology Laboratory (CDBL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS) in Frederick, Maryland, is recruiting a Staff Scientist with demonstrated expertise in bioinformatics and computer science. (nih.gov)
  • For additional information about the CDBL, please visit https://ccr.cancer.gov/cancer-and-developmental-biology-laboratory . (nih.gov)
  • NIEHS research uses state-of-the-art science and technology to investigate the interplay between environmental exposures, human biology, genetics, and common diseases to help prevent disease and improve human health. (nih.gov)
  • An 18-year veteran of NLM, Dr. Przytycka leads the Algorithms for Computational and Systems Biology (AlgoCSB) research group, which develops computational methods that advance systems-level understanding of cancer and other complex diseases, and the principles of gene regulation. (nih.gov)
  • Collaborative research efforts, among NCBI investigators as well as with the external research community, have led to the development of innovative algorithms (BLAST, PSI-BLAST, VAST, and COGs), novel research approaches (text neighboring) and fundamental resources (PubChem and CDD) that have transformed the field of computational biology. (nih.gov)
  • The aim is to train a new class of scientist with a primary identity as a computational biologist/bioinformaticist, and whose disciplinary core draws from an emerging set of principles of how to compute, analyze and apply biological data. (nih.gov)
  • Carl von Linné, the Swedish botanist and father of taxonomy, would be a computational biologist today. (nih.gov)
  • Although this initiative is intended to support data analysis, it is not intended to primarily support the development of new computational methods. (nih.gov)
  • The focus in this position will be on neuroimaging analysis (e.g. resting-state fMRI) and using computational methods for linking social/demographic/neurocognitive/personality and clinical measures to the neuroimaging data. (nih.gov)
  • The proposed work should apply best practices and proven methods for software design, construction and implementation to extend the applicability of existing bioinformatics/computational biology software to a broader biomedical research community. (nih.gov)
  • Primary responsibilities will be to consult and provide bioinformatics and computational support for CDBL PI teams using high throughput sequencing and mass spectrometric methods (e.g., bulk and single-cell RNAseq, ChIPseq, ATACseq, HiC, metabolomics, lipidomics, proteomics), to collaborate on projects focused on signaling pathways and organization of gene regulatory networks in developmental systems. (nih.gov)
  • the research group joined the NIH/NHLBI Laboratory of Computational Biology (LCB) in 2006, after over 20 years in FDA/CBER's Laboratory of Biophysics. (nih.gov)
  • This funding opportunity will support integrated research education and research training programs that provide interdisciplinary training in basic neuroscience and the theoretical and technological approaches of computational neuroscience. (nih.gov)
  • Experience in applying genomic data analysis to problems in genetics and physiology and some background in developmental biology are also highly desirable. (nih.gov)
  • The scientist will also be responsible for supervising and helping to train junior fellows in basic bio-informatic tools to assist in analyses for these projects, which will extend their ability to oversee multiple projects simultaneously. (nih.gov)
  • They also use computational health sciences to focus on clinical information processing and analyze clinical data, assess clinical outcomes, and set health data standards. (nih.gov)
  • Previous involvement in biomedical research is not essential, but some knowledge of biology will be beneficial. (nih.gov)
  • This initiative pertains to bioinformatics/computational biology software that is recognized to perform an important function in furthering biomedical research. (nih.gov)
  • The primary recommendation was to develop a mechanism to train a cadre of scientists whose primary professional identification and disciplinary affiliation is bioinformatics or computational biology. (nih.gov)
  • Researchers collaborate to define new areas of research and identify appropriate computational mechanisms to address them. (nih.gov)
  • ICSB recognized Dr. Przytycka for her fundamental algorithmic contributions to a wide range of problems in computational systems biology, especially in network analysis, network-based approaches to uncover disease genes, network reconstruction, regulatory roles of DNA conformation dynamics and RNA aptamer analysis. (nih.gov)
  • Members also provide leadership and guidance to the extramural community by planning and organizing scientific consortia to determine the most effective use of public sequence resources for large-scale or high-throughput experimental biology. (nih.gov)
  • Dr. Przytycka's research has accelerated progress in many areas of biomedical science," said NLM Director Patricia Flatley Brennan, RN, PhD. "We are very proud of this recognition of her excellent work and her contributions to the fields of computational biology and bioinformatics. (nih.gov)
  • Research interests further cover a wide range of topics in computational biology and information science. (nih.gov)
  • From its humble beginning as a small collection of books in the library of the U.S. Army Surgeon General's office, NLM has grown not only to become the world's largest biomedical library, but a leader in biomedical informatics and computational health data science research. (nih.gov)
  • Both programs are accelerating advances in biomedical informatics, data science, computational biology, and computational health. (nih.gov)
  • Thus, we seek to fund computational and systems analysis of existing TOPMed data and do not anticipate funding additional data collection for mechanistic studies at this time. (nih.gov)
  • Awards made under this PA will support continued software development, evaluation, and testing of pre-existing bioinformatics/computational biology software for data management and analysis, computational biology, and modeling and simulation. (nih.gov)
  • There are several desirable aspects of development and maintenance of bioinformatics/computational biology software. (nih.gov)
  • This initiative also recognizes the benefits to be realized from skillful and timely action to assure the availability and usefulness of existing bioinformatics/computational biology software, as well as the costs associated with inaction. (nih.gov)
  • SysBioMed report: advancing systems biology for medical applications. (nih.gov)
  • Analyses may use existing bioinformatics pipelines or may require development of new computational approaches. (nih.gov)
  • Successful candidates will possess strong computational skills, ability to work with large datasets and excellent communication skills. (nih.gov)
  • HCP, AFNI, FSL) or computational skills (e.g. (nih.gov)
  • Trends in computational biology: a summary based on a RECOMB plenary lecture, 1999. (nih.gov)