Systems biology/External Links: Difference between revisions
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* [http://www.systemsbiology.org/ Institute for Systems Biology] | * [http://www.systemsbiology.org/ Institute for Systems Biology] | ||
:* Contains an introduction to, and in-depth discussion of systems biology. | :* Contains an introduction to, and in-depth discussion of systems biology. | ||
:*The Institute emerged as a result of the new research model called systems biology a revolutionary approach to analyzing biological complexity and understanding how biological systems function. The Institute has brought together a multidisciplinary group of scholars and scientists, from biologists, mathematicians and engineers, to computer scientists and physicists, in an interactive and collaborative environment. There are very few places with such a diverse representation of backgrounds and experience under one roof. ISB has already published pioneering papers in genomics, proteomics, systems biology and its applications. | |||
:*[http://www.systemsbiology.org/Intro_to_ISB_and_Systems_Biology/Systems_Biology_--_the_21st_Century_Science Systems Biology: the 21st Century Science] | |||
:*[http://www.systemsbiology.org/Intro_to_ISB_and_Systems_Biology/Why_Systems_Matter Why Systems Matter] | |||
* [http://www.sns.ias.edu/csb/index.php The Simons Center for Systems Biology] | * [http://www.sns.ias.edu/csb/index.php The Simons Center for Systems Biology] | ||
:*In the School of Natural Sciences, Institute for Advanced Study, Princeton | :*In the School of Natural Sciences, Institute for Advanced Study, Princeton | ||
:*Research interests at The Simons Center for Systems Biology include [[genetics]] and [[genomics]], [[polymorphisms]] and molecular aspects of evolution, signal transduction pathways and networks, stress responses and [[pharmacogenomics]] in cancer biology. Members of the group explore the linkage between theoretical and experimental biology. The group has developed algorithms that have led to the discovery of correlations and signals that are characteristic of viruses, diseases such as cancer, and traits such as embryonic development and longevity. Researchers also are investigating protein-protein interaction networks, including the prediction of protein-protein interactions from sequence analysis, and the dynamics of mRNA and protein expression in gene circuits....Using tools from statistical mechanics and information theory, Members are addressing problems in population genetics and association studies, haplotype structure and gene selection in the p53 pathway, and uncovering epistatic interactions between single nucleotide polymorphisms related to cell apoptosis as well as developing protocols for molecular profiling of cancer; studying evolutionary genetics, and patterns of mutations correlated with longevity. They are exploring the bioinformatics of DNA and RNA sequences with applications including patterns of re-assortment in viruses, optimal RNA expression for vaccines and chromatin structure as a function of DNA sequence; and developing numerically efficient theoretical methods to describe quantum effects experimentally observed in enzymatic reactions. | :*Research interests at The Simons Center for Systems Biology include [[genetics]] and [[genomics]], [[polymorphisms]] and molecular aspects of evolution, signal transduction pathways and networks, stress responses and [[pharmacogenomics]] in cancer biology. Members of the group explore the linkage between theoretical and experimental biology. The group has developed algorithms that have led to the discovery of correlations and signals that are characteristic of viruses, diseases such as cancer, and traits such as embryonic development and longevity. Researchers also are investigating protein-protein interaction networks, including the prediction of protein-protein interactions from sequence analysis, and the dynamics of mRNA and protein expression in gene circuits....Using tools from statistical mechanics and information theory, Members are addressing problems in population genetics and association studies, haplotype structure and gene selection in the p53 pathway, and uncovering epistatic interactions between single nucleotide polymorphisms related to cell apoptosis as well as developing protocols for molecular profiling of cancer; studying evolutionary genetics, and patterns of mutations correlated with longevity. They are exploring the bioinformatics of DNA and RNA sequences with applications including patterns of re-assortment in viruses, optimal RNA expression for vaccines and chromatin structure as a function of DNA sequence; and developing numerically efficient theoretical methods to describe quantum effects experimentally observed in enzymatic reactions. | ||
Revision as of 20:39, 30 October 2008
- Please sort and annotate in a user-friendly manner and consider archiving the URLs behind the links you provide. See also related web sources.
- Contains an introduction to, and in-depth discussion of systems biology.
- The Institute emerged as a result of the new research model called systems biology a revolutionary approach to analyzing biological complexity and understanding how biological systems function. The Institute has brought together a multidisciplinary group of scholars and scientists, from biologists, mathematicians and engineers, to computer scientists and physicists, in an interactive and collaborative environment. There are very few places with such a diverse representation of backgrounds and experience under one roof. ISB has already published pioneering papers in genomics, proteomics, systems biology and its applications.
- Systems Biology: the 21st Century Science
- Why Systems Matter
- In the School of Natural Sciences, Institute for Advanced Study, Princeton
- Research interests at The Simons Center for Systems Biology include genetics and genomics, polymorphisms and molecular aspects of evolution, signal transduction pathways and networks, stress responses and pharmacogenomics in cancer biology. Members of the group explore the linkage between theoretical and experimental biology. The group has developed algorithms that have led to the discovery of correlations and signals that are characteristic of viruses, diseases such as cancer, and traits such as embryonic development and longevity. Researchers also are investigating protein-protein interaction networks, including the prediction of protein-protein interactions from sequence analysis, and the dynamics of mRNA and protein expression in gene circuits....Using tools from statistical mechanics and information theory, Members are addressing problems in population genetics and association studies, haplotype structure and gene selection in the p53 pathway, and uncovering epistatic interactions between single nucleotide polymorphisms related to cell apoptosis as well as developing protocols for molecular profiling of cancer; studying evolutionary genetics, and patterns of mutations correlated with longevity. They are exploring the bioinformatics of DNA and RNA sequences with applications including patterns of re-assortment in viruses, optimal RNA expression for vaccines and chromatin structure as a function of DNA sequence; and developing numerically efficient theoretical methods to describe quantum effects experimentally observed in enzymatic reactions.