• The international team of researchers and industry representatives is collaborating in the development of molecular biological methods for locating deposits. (univie.ac.at)
  • A very new and promising approach is based on molecular biological methods as they are designed to map changes in sediments above reservoirs where microorganisms are exposed to natural hydrocarbon leakage. (univie.ac.at)
  • While there is a wide selection of 'by experts, for experts' books in statistics and molecular biology, there is a distinct need for a book that presents the basic principles of proper statistical analyses and progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology. (environmental-expert.com)
  • EvoRator2: predicting site-specific amino acid substitutions based on protein structural information using deep learning Journal of Molecular Biology: 435(14):168155. (tau.ac.il)
  • Our goal is to understand, to control and to engineer CATs using tools from molecular biology, microscopy and mathematical modelling. (uni-heidelberg.de)
  • We juxtapose various methods, namely optogenetics, CRISPR, viral vectors and computation and develop molecular tools to study genome regulation and direct cell function. (uni-heidelberg.de)
  • We combine molecular/cell biology and physics to develop quantitative descriptions that relate the dynamic organization of the (epi)genome with gene expression programs and functional cell states. (uni-heidelberg.de)
  • In Systems Genetics , Methods in Molecular Biology 1488:75-120 [An updated primer in using GeneNetwork for molecular analysis of mouse and human cohorts. (genenetwork.org)
  • In Systems Genetics , Methods in Molecular Biology 1488:3-29. (genenetwork.org)
  • This course will allow us to explore the basic computational issues and methods used in molecular biology. (udel.edu)
  • I've invited Dr. Carl Schmidt to give a three-lecture introduction to Molecular Biology for Computer Scientists to start out the semester. (udel.edu)
  • This center will raise our leadership profile in the field rapidly," says Milan Mrksich , Henry Wade Rogers Professor of Biomedical Engineering, Chemistry, and Cell and Molecular Biology, and the Center's director. (northwestern.edu)
  • Current Research and Scholarly Interests I am interested in elucidating molecular mechanisms of MYC-driven drug resistance and immune evasion in cancer using computational and experimental models. (stanford.edu)
  • In simulating and analyzing such behavior it is necessary to employ numerical methods that directly take into account the underlying discrete stochastic nature of the molecular events. (computer.org)
  • Background: The Next Generation (NexGen) of Risk Assessment effort is a multiyear collaboration among several organizations evaluating new, potentially more efficient molecular, computational and systems biology approaches to risk assessment. (cdc.gov)
  • methods included molecular epidemiology and clinical studies, bioinformatic knowledge mining, pathway and network analyses, short-duration in vivo and in vitro bioassays, and quantitative structure activity relationship modeling. (cdc.gov)
  • Collaborative investigations of photophysics, photochemistry and ultrafast dynamics in molecular and heterogeneous systems carried out together with experimental colleagues. (lu.se)
  • However, experimental approaches have limitations when dealing with complex biological systems composed of multiple layers of regulation such as the transcriptional and post-transcriptional regulation by transcription factors (TFs) and miRNAs [ 2 ]. (hindawi.com)
  • Most experimental approaches focus on the identification of miRNA targets and the investigation of physiological consequences when perturbing miRNA expressions but are unsuited to provide a system-level interpretation for observed phenomena. (hindawi.com)
  • It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites. (routledge.com)
  • This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. (routledge.com)
  • The book presents a list of modern approaches in systems biology with application to cancer research and beyond. (routledge.com)
  • The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. (routledge.com)
  • The range of topics covered will equip the students with the knowledge and skills to address biological problems in genetics, cell biology, evolutionary biology and ecology using a variety of computational tools and analytical approaches. (ucl.ac.uk)
  • The growing availability of clinical biomarker data and data-driven computational modeling techniques provide an opportunity for new approaches to individualized AD therapeutic planning. (plos.org)
  • We are working on understanding gene (de)regulation in disease and develop novel methods to integrate large scale genomics datasets, using statistical and machine-learning approaches. (uni-heidelberg.de)
  • Our lab approaches this question from a synthetic biology and protein engineering perspective. (uni-heidelberg.de)
  • Her team works to improve experimental and computational approaches for interaction proteomics. (asbmb.org)
  • The convergence of systems and reductionist approaches in complex trait analysis. (genenetwork.org)
  • The research in the laboratory is broad and uses a combination of experimental and computational approaches. (jhu.edu)
  • Our approaches to this disease include multiscale computational modeling and bioinformatics combined with animal experiments. (jhu.edu)
  • We will apply systems-level computational approaches to mouse models and clinical samples to unravel the different strategies metastatic cancer cells employ in coopting the brain microenvironment. (mskcc.org)
  • Computational and mathematical methods in medicine 2022 0 0. (cdc.gov)
  • With computational modeling, researchers can use several data streams and apply mathematical methods to figure out what might happen in a chemical incident or outbreak. (cdc.gov)
  • The partnering institutions will support pre-doctoral fellows' innovative research to develop and apply computational tools and mathematical methods for modeling the spread of pathogens in healthcare settings (e.g. (cdc.gov)
  • On this basis, in the EU project PROSPECTOMICS led by the German Research Centre for Geosciences Potsdam (GFZ) industrially applicable methods are being developed. (univie.ac.at)
  • UCCB is an interdisciplinary centre of excellence for statistical and computational analysis of the fast-growing data available in genetics and biology. (ucl.ac.uk)
  • Theoretical computer science studies the fundamental methods and mathematics of computation: the design of efficient algorithms, models and frameworks for computing, and the resource requirements of computational tasks. (aalto.fi)
  • The conference welcomes new theoretical results with potential applications to systems and synthetic biology, as well as novel applications and case studies of existing methods, tools, or frameworks. (unibuc.ro)
  • Basic theoretical and computational modeling of replicating systems. (uu.se)
  • William S. Hlavacek is a Scientist in the Theoretical Biology and Biophysics Group at Los Alamos National Laboratory. (mit.edu)
  • Thus, this study provides a feasible method to study the pharmacological mechanism of traditional Chinese medicine compound prescriptions and a theoretical basis for the development of SHD into a new drug for IS treatment. (hindawi.com)
  • The COSHE theme was formed at CEC in 2023 by the members of Computational Biology and Biological Physics (CBBP, formerly at Astronomy and Theoretical Physics) and the Uncertainty and Evidence Lab. (lu.se)
  • Knowledge in theoretical biophysics and computational physics (corresponding to FYTN05/ BERN05 and FYTN03 , respectively) is helpful but not required. (lu.se)
  • Throughout his career, his aim has been to combine experimental, theoretical and data analysis methods to obtain holistic understanding of biological and medical problems. (lu.se)
  • Analysis and numerical methods for differential-algebraic equations, Computational Systems Biology, Computational Neuroscience, ill-posed problems, multiscale systems. (kth.se)
  • The field focuses on the development of original computational methods and their application in collaboration with leading national and international experts in different branches of life sciences. (aalto.fi)
  • My current reseach focuses on parameter inference and uncertainty quantificaiton in complex biological systems, using methods from machine learning, computational statistics and emulation. (gla.ac.uk)
  • 2) computational Principles of Natural Sensory Processing: Research in this lab focuses on the computational principles of how the brain processes information. (hopkinsmedicine.org)
  • Professor Petzold's research focuses on modeling, simulation and analysis of multiscale systems in materials, biology and medicine. (computer.org)
  • We develop methods and algorithms for computer-based analysis of biological and medical images, in particular, cell microscopy images and medical tomographic images. (uni-heidelberg.de)
  • My primary research interest lies in developing new computational algorithms and statistical methods for the analysis of complex data in biological systems, especially related to the large-scale single-cell RNA sequencing data. (stanford.edu)
  • We develop computational methods for modeling and analyzing biochemical reaction networks, using different mathematical frameworks like ODEs, PDEs or stochastic processes. (uni-heidelberg.de)
  • In this project you will develop computational methods for assembling fragmented (noisy) optical DNA maps into full chromosomal maps for bacteria. (lu.se)
  • With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. (routledge.com)
  • D. Lansing Taylor research on Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic Islets was funded by the National Institute of Health (NIH) agency and the project started on 20 September 2018 and it will end on 31 July 2023. (wikipedia.org)
  • D. Lansing Taylor research on Harnessing human brain and liver microphysiological systems for testing therapeutics for metastatic melanoma was funded by the National Institute of Health (NIH) agency and the project started on 1 August 2018 and it will end on 31 July 2023. (wikipedia.org)
  • Frontiers in cell and developmental biology 2023 0 0. (cdc.gov)
  • The course explores computational methods for biological networks, including network motif discovery, pathway analysis and reconstruction techniques. (helsinki.fi)
  • Method for automated tissue analysis, (2012). (wikipedia.org)
  • The application of the systems biology approach to the analysis of a gene regulatory network is demonstrated with a case study of the regulation of p21 by multiple miRNAs [ 4 ]. (hindawi.com)
  • As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. (environmental-expert.com)
  • A Practical Approach to Microarray Data Analysis is for all life scientists, statisticians, computer experts, technology developers, managers, and other professionals tasked with developing, deploying, and using microarray technology including the necessary computational infrastructure and analytical tools. (environmental-expert.com)
  • This approach extends the analysis of complex systems from description to prediction, including control of complex dynamic behavior ranging from biological rhythms to catastrophic lethal arrhythmias. (mdpi.com)
  • Computational biology aims to describing biological systems or processes that allow machine analysis by formal methods. (uni-rostock.de)
  • The research area covers the multi-disciplinary activities on computational modelling, data analysis and design of biological systems. (aalto.fi)
  • We develop methods for the simulation, modelling and analysis of biochemical networks and apply these methods to tackle specific biochemical questions. (uni-heidelberg.de)
  • This was gradually expanded into various methods in bioinformatics, in particular for sequence analysis and protein structure prediction. (ntnu.edu)
  • The research group has established rigorous methods for benchmarking methods for motif discovery (BMC Bioinformatics 2007, 2008) and ChIP-seq data analysis (Nucleic Acids Res 2011). (ntnu.edu)
  • CMSB 2022 solicits original research articles, tool papers, posters, and highlight talks on the modelling and analysis of biological systems and networks as well as the analysis of biological data. (unibuc.ro)
  • B) TOOL PAPERS: Tool papers should present new tools or public websites, new tool components or novel extensions to existing tools or websites supporting biological system modelling, analysis, simulation, or similar. (unibuc.ro)
  • The vast amount of heterogeneous omics data, encompassing a broad range of biomolecular information, requires novel methods of analysis, including those that integrate the available levels of information. (researchgate.net)
  • In-depth biological analysis of connected genes in ANDnet and XORnet revealed genes that are related to energy metabolism, cell cycle control (AATF), immune system response, and several cancer types. (researchgate.net)
  • The research focus for the Division of Numerical Analysis is on numerical methods for the solution of partial differential equations, stochastic differential equations and numerical linear algebra. (kth.se)
  • The computational barriers to joint analysis are now minimal. (genenetwork.org)
  • Quackenbush J. Computational analysis of microarray data . (udel.edu)
  • Two methods were used to screen the key targets of IS disease based on the PPI network analysis. (hindawi.com)
  • Towards computational analysis of metabolic profiling data for protein function prediction. (mpg.de)
  • This work provides the foundation for computational analysis of museum specimens and future field-validation. (lu.se)
  • Current studies are devoted into analysis of variations and their effects, including prediction method development, and systems biological studies. (lu.se)
  • The Complex Systems research area studies diverse systems from social networks to the human brain and from cities to the human immune system, applying the tools of network science, stochastic processes, and nonlinear dynamics. (aalto.fi)
  • For non-stiff problems, it is shown that the method is able to quickly converge even when stochastic effects are present. (uu.se)
  • Overall, the method builds an attractive bridge between on the one hand, macroscopic deterministic scales and, on the other hand, mesoscopic stochastic ones. (uu.se)
  • Much of her work in this area has focused on development of computational techniques for the discrete stochastic simulation of multiscale biochemical systems. (computer.org)
  • In microscopic systems formed by living cells, small numbers of key reactant molecules can result in dynamical behavior that is discrete and stochastic (random), rather than continuous and deterministic. (computer.org)
  • For pioneering contributions to numerical methods and software for differential-algebraic systems and for discrete stochastic simulation. (computer.org)
  • [2], a stochastic method is exploited where the dynamical equations provide probability distributions from which the free energies are estimated from the logarithms. (lu.se)
  • Bio My research interest lies in liquid biopsy and early cancer diagnostics, e.g. development of bioassay for detection of cancer biomarkers (proteins and genes) and single-cell research. (stanford.edu)
  • Our scientists pursue every aspect of cancer research-from exploring the biology of genes and cells, to developing immune-based treatments, uncovering the causes of metastasis, and more. (mskcc.org)
  • Transactions on Computational Systems Biology III. (helsinki.fi)
  • The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena. (environmental-expert.com)
  • Systems biology-inspired computational methods for translating metabolomics data into fluxomics provide a direct functional, dynamic readout of metabolic networks. (mdpi.com)
  • He moved to Carnegie Mellon University (CMU) as a professor to direct the Center for Fluorescence Research where he led the program to develop fluorescence-based biosensors of cellular physiology and light microscope imaging systems for various applications in basic biomedical research. (wikipedia.org)
  • During this time he co-founded Biological Detection Systems to commercialize fluorescence-based reagents and research imaging platforms, later purchased by Amersham, now GE Life Sciences. (wikipedia.org)
  • His current research interests include the development and application of human microphysiology systems as more advanced experimental models for drug discovery and development, the application of quantitative systems pharmacology (QSP) for a new paradigm in drug discovery and computational and systems pathology to predict therapeutic strategies for a variety of diseases. (wikipedia.org)
  • D. Lansing Taylor research on Applying a Human Liver Microphysiology System to Develop Therapeutic Strategies for Non-Alcoholic Fatty Liver Disease (NAFLD) was funded by the National Institute of Health (NIH) agency and the project started on 1 August 2018 and it will end on 30 April 2022. (wikipedia.org)
  • This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. (routledge.com)
  • Thomas Rattei's research group is responsible for analysing the data collected in the project using bioinformatics methods, integrating the project's extremely large data volumes, and developing AI models for reservoir prediction. (univie.ac.at)
  • The endeavor to better understand biological systems or processes are in the focus of this research. (uni-rostock.de)
  • Gingras now runs a signal transduction, systems biology and proteomics lab at the Lunenfeld-Tanenbaum Research Institute in Toronto. (asbmb.org)
  • Her group's success in defining new biological complexes and pathways implicated in disease heavily relies on the contributions of talented students, fellows and research assistants with diverse expertise in biochemistry, cell biology, mass spectrometry and bioinformatics, as well as a large network of key scientific collaborators. (asbmb.org)
  • Research associate James Knight then developed computational tools to analyze and visualize the data. (asbmb.org)
  • It has the ambition to concentrate the knowledge potential in the field of systems biology in the Czech Republic and to connect the diverted systems biology research at the Academy of Sciences and various universities in the Czech Republic to the european infastructure (ISBE). (muni.cz)
  • C4SYS will enable Czech ad European laboratories to model, conduct experiments and proceed other activities, where they cannot be done locally, but which are required for their systems biology research. (muni.cz)
  • and specific examples of current quantitative biology research and related specialized methods. (mit.edu)
  • These laboratories include: (1) computational neurobiology Laboratory: The goal of their research is to build bridges between brain levels from the biophysical properties of synapses to the function of neural systems. (hopkinsmedicine.org)
  • Moving from Cornell University, he joined Northwestern in 2016, a few months after the University had launched its Center for Synthetic Biology and outlined plans to assemble a dream team of complementary faculty members to lead innovative research. (northwestern.edu)
  • The "far-reaching vision" that Lucks found so appealing is embodied in Northwestern's Center for Synthetic Biology, which creates a supportive ecosystem for research and education to thrive. (northwestern.edu)
  • It has inspired multiple unexpected collaborations, hosted two significant events, helped its members publish groundbreaking research, and coalesced a supportive, enthusiastic synthetic biology community. (northwestern.edu)
  • Bio My research is focused on computational and systems biology. (stanford.edu)
  • Bio I am a medical oncology fellow with a clinical focus on breast cancer, and a research focus on examining cancer care delivery and resource allocation in both high- and low-income contexts. (stanford.edu)
  • Some math and computer science students don't realize that they can make important contributions to biology research until [this workshop]. (mit.edu)
  • our laboratory is at the cutting edge of the cancer systems biology research. (jhu.edu)
  • A Shared Resource Core will establish computational methods and technologies for spatial expression analyses in support of all three research projects. (mskcc.org)
  • She was named the UCSB Faculty Research Lecturer for 2011, was awarded the SIAM/ACM Prize for Computational Science and Engineering in 2013, received an Honorary Doctorate from Uppsala University in 2015, and was awarded the SIAM Prize for Distinguished Service in 2016. (computer.org)
  • Our research team develops software systems to help experimental biologists form novel hypotheses from high-throughput data, while aiming to better understand the structure and function of regulatory networks in mammalian cellular and multi-cellular systems. (mssm.edu)
  • Our research group works on constructing and refining computational models to describe genetic, epigenetic and metabolic networks. (lu.se)
  • This interdisciplinary research is conducted in close collaboration with researchers in medicine and biology. (lu.se)
  • ATSDR's Simulation Science Section uses computational modeling to support a variety of public health research projects and initiatives focused on protecting the health of people and communities. (cdc.gov)
  • If you're interested in collaborating with ATSDR's Simulation Science Section, or if you'd like to use computational modeling in your research project or initiative, contact Simulation Science Section Chief Patricia Ruiz at [email protected] . (cdc.gov)
  • Your work would put this research on the path towards new methods for investigating phenological shifts in the age structure of an important pollinator. (lu.se)
  • Enhance mathematical and computational modeling research capabilities of the public health workforce. (cdc.gov)
  • The motivation for the design of such a proof system comes from the need to provide the background computational machinery for tools that support learning in experimental subjects in secondary-education classrooms. (dagstuhl.de)
  • It covers the broad field of computational methods and tools in systems and synthetic biology and their applications. (unibuc.ro)
  • This textbook offers an introduction to the theory, methods, and tools of quantitative biology. (mit.edu)
  • Pioneers in the relatively new field of synthetic biology use tools and concepts from physics, engineering, and computer science to build new biological systems. (northwestern.edu)
  • We will employ sophisticated genetic tools to perturb cellular circuits of regulatory and conventional T cells in colon cancer together with novel gene regulatory models trained on single-cell multiome data, coupled to spatial expression analyses in order to dissect immune regulation in this system. (mskcc.org)
  • In addition to knowledge of theory of computational science, there will be an emphasis on obtaining knowledge about the practical tools that are used by professionals in the field and you will amongst several things train your skills in programming. (lu.se)
  • This analytical approach also provides an in-silico method to simulate and optimize treatment at an individual level, thereby accelerating the development of personalized treatments. (plos.org)
  • The Ma'ayan Laboratory applies machine learning and other statistical mining techniques to study how intracellular regulatory systems function as networks to control cellular processes such as differentiation, dedifferentiation, apoptosis and proliferation. (mssm.edu)
  • The workshop, sponsored by the Department of Biology and the National Science Foundation-funded Center for Brains, Minds, and Machines, focused on how computer programming can apply to problems in biology and neuroscience. (mit.edu)
  • Laboratory sessions highlighting BioBrick cloning as a methodology in synthetic biology. (uu.se)
  • The Systems neurobiology Laboratory is a group of laboratories that all study various aspects o ... f neurobiology . (hopkinsmedicine.org)
  • The overarching goal of the Systems Biology Laboratory is to apply modern methods of biomedical engineering to better understand the mechanisms of cancer and to significantly advance treatments for this devastating disease. (jhu.edu)
  • The course also includes computer and experiment laboratory exercises in order to introduce the students to methods used in modern nuclear physics. (lu.se)
  • Our group also has connections to plant biology through the Sainsbury Laboratory at the University of Cambridge. (lu.se)
  • Effectidor: an automated machine-learning based web server for the prediction of type-III secretion system effectors. (tau.ac.il)
  • This optimal treatment computational modeling framework can be applied to other single and combination treatments for both prediction and optimization, as well as incorporate new clinical trial data as it becomes available. (plos.org)
  • HitPick, SEA, and SwissTarget Prediction online systems were used to predict the set of potential targets for SHD to treat IS. (hindawi.com)
  • 2016). In addition, Vihinen has introduced widely followed guidelines, recommendations and policies, he has founded a new sub-discipline of immunome, and introduced systematics to biological prediction methods and their assessment. (lu.se)
  • New Antibody Microarray Tube for Cellular Localization and Signaling Pathways describes a new integrated protein biochip system including protein localization, biocomputing and signaling pathways. (environmental-expert.com)
  • Protein-Corona-by-Design in 2D: A Reliable Platform to Decode Bio-Nano Interactions for the Next-Generation Quality-by-Design Nanomedicines. (swansea.ac.uk)
  • She moved to Seattle to study mass spectrometry with Ruedi Aebersold, and there she improved methods for protein-protein interaction detection. (asbmb.org)
  • Using these techniques and others, she has made important advances in a wide range of problems from biology and medicine, including Circadian rhythm, unfolded protein response, cell polarization, and coagulopathy. (computer.org)
  • rsos from in silico dynamical modelling by tuning parameters for protein concentrations and other factors .r o y involved in the rate equations describing the systems. (lu.se)
  • The aim of this project is to explore quantum computing based methods for solving lattice protein problems. (lu.se)
  • We use computational protein design methods to change protein sequence in order to modify the oligomerization properties of coiled coils. (lu.se)
  • We use structure based modeling and computational protein design methods to optimize the protein sequence of proteins and peptides in order to control their assembly. (lu.se)
  • Repeat proteins feature prominently in biology and serves as a diverse scaffold for protein-protein interactions. (lu.se)
  • He received his B.S. in zoology from the University of Maryland, followed by his Ph.D. in the field of cell biology from the State University of New York at Albany. (wikipedia.org)
  • Cellumen was the next company founded by Lans to apply systems cell biology to both drug safety testing (now part of Cyprotex) and cancer diagnostics. (wikipedia.org)
  • Computational biology involves the application of computers and computer science to the understanding and modelling of biological structures and processes. (ucl.ac.uk)
  • The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. (mit.edu)
  • You will learn how to study complex processes in natural sciences, and how Computational Science can contribute to knowledge evolution in society. (lu.se)
  • FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2022 0 0. (cdc.gov)
  • Genome biology 2022 0 0. (cdc.gov)
  • Zhang WB, Long H. State-of-the-Art Survey on Verification of Vector Addition Systems[J]. Journal of Software, 2018, 29(6): 1566-1581(in Chinese). (jos.org.cn)
  • This biennial meeting seeks to provide a discussion forum for scientists, engineers, educators and students about the latest discoveries and realizations in the foundations, theory, models and applications of systems inspired by nature, as well as in emerging areas related to the above items, using computational intelligence methodologies. (wikicfp.com)
  • The postdoc project aims to use systems-level methodologies to investigate the impact of biological sex on human immunity. (lu.se)
  • The values of parameters in this model can be determind from literature, databases or they are directly estimated from quantitative experimental data using optimization methods. (hindawi.com)
  • His group has developed a method for revealing networks from experimental data and investigated with systematic computational perturbations effects of T-cell primary immunodeficiencies on the central signaling pathways. (lu.se)
  • Recommended knowledge: Computational physics corresponding to FYTN03 and programming experience. (lu.se)
  • Computational modeling is a process that uses computers to simulate and study complex systems using math, physics, and computer science. (cdc.gov)
  • The group is part of COSHE, the Computational Science for Health and Environment theme at CEC. (lu.se)
  • 4th Int. Workshop on Hybrid Systems: Computation and Control, HSCC'01, volume 2034 of LNCS, pages 19-32, 2001. (dagstuhl.de)
  • Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. (elifesciences.org)
  • T-cell receptors (TCR) and B-cell receptors (BCR) are hypervariable immunoglobulins that play a key role in recognizing antigens in the vertebrate immune system. (elifesciences.org)
  • 3. To understand how extracellular vesicles (exosomes) released from brain resident cells regulate neuronal excitability, neural network activity, and peripheral immune responses to central nervous system damage and infections. (hopkinsmedicine.org)
  • The Center for Tumor-Immune Systems Biology is organized around three central scientific projects that examine tumor-immune ecosystems in immunologically distinct microenvironments where current immune checkpoint-based (ICB) immunotherapies are ineffective and explore how to engineer improved immune responses through immunogenic cancer cell death in contexts where ICB has had clinical efficacy. (mskcc.org)
  • for example, we study how immune system cells decide to mature or how skin cells can be directly reprogrammed into neurons or stem cells. (lu.se)
  • The candidate will apply systems immunology methods to comprehensively profile the human immune system using various high-throughput technologies. (lu.se)
  • For example, the innate immune system relies mainly on LRRs for target recognition. (lu.se)
  • GEE has been home to some of the greatest figures of evolutionary biology and genetics from JBS Haldane , Peter Medawar and Sue Povey to our current world-leading scientists. (ucl.ac.uk)
  • Mulligan MK, Mozhui K, Prins P, Williams RW 2017 GeneNetwork: A Toolbox for Systems Genetics. (genenetwork.org)
  • Williams RW, Williams EG 2017 Resources for Systems Genetics. (genenetwork.org)
  • In this project, the Viennese team of bioinformaticians and computational biologists is collaborating with scientific groups from Germany and Luxembourg, as well as a Norwegian exploration company. (univie.ac.at)
  • The use of computational models accounting for detailed kinetics and regulatory mechanisms allow us to unravel the control and regulatory properties of the fluxome under steady and time-dependent behaviors. (mdpi.com)
  • Three numerical experiments on models representative to the field of computational systems biology illustrate the method. (uu.se)
  • Such systems biology models can, for example, describe how whole populations interact with their environment, how individual cells choose to differentiate into different cell types, or how multicellular systems form patterns and grow new organs in two or three dimensions. (lu.se)
  • Together we develop new models and methods for new types of experiments and data. (lu.se)
  • Available projects also include computational investigations of reaction mechanisms and reaction dynamics for solar energy conversion and catalysis/photocatalysis. (lu.se)
  • We explore the method on three circuits for haematopoiesis and embryonic stem cell development for commitment and reprogramming scenarios and illustrate how the method can be used to determine sequential steps for onsets of external factors, essential for efficient reprogramming. (lu.se)
  • Applications are found within diverse fields such as for example electro magnetics, fluid mechanics, financial mathematics, quantum mechanics, biology and medicine. (kth.se)
  • Applied computational science can be divided into several components: mathematics, modelling, statistics, and programming. (lu.se)
  • In the first year of the track Environmental Science, you study basic courses in mathematics, statistics and programming which will give you knowledge to conduct projects in computational science. (lu.se)
  • Machine Learning for Systems Microscopy. (routledge.com)
  • The experimental method utilises fluorescence microscopy and nano-scale devices. (lu.se)
  • [4] quasi-potential methods based upon Lyapunov theory are developed where the energy or potential is decomposed into two terms: one related to the dynamical equations and the other chosen to minimize its effect on state transitions. (lu.se)
  • The systems biology approach, combining data-driven modeling and model-driven experiments, provides a systematic and comprehensive perspective on the regulatory roles of miRNAs in gene regulatory networks [ 3 - 5 ]. (hindawi.com)
  • Systems Biology Approach to Study Heterogeneity and Cell Communication Networks in the Tumour Microenvironment. (routledge.com)
  • A dedicated framework for those students who wish to take a computational approach to the study of biology. (ucl.ac.uk)
  • Computational Biology is the newest route within the Biological Sciences degree programme and was designed to offer a dedicated framework for those students who wish to take a computational approach to the study of biology. (ucl.ac.uk)
  • By accessing longitudinal biomarker data from the ADNI database, we validate our computational modeling approach to identify patient-specific disease trajectories and optimize individual treatments for two anti-amyloid-beta therapies, aducanumab and donanemab, in proof-of-principle clinical trial simulations. (plos.org)
  • A Bioinformatic Approach Based on Systems Biology to Determine the Effects of SARS-CoV-2 Infection in Patients with Hypertrophic Cardiomyopathy. (cdc.gov)
  • This interdisciplinary education will give you in-depth knowledge in the field of computational science, but you also study advanced courses based on your subject knowledge in environmental science from your bachelor's degree. (lu.se)
  • He is the Professor of Medical Structural Biology at Lund University. (lu.se)