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Gary Churchill's Statistical Genetics Group
38471
Gary Churchill's Statistical Genetics Group
http://www.jax.org/staff/churchill/labsite/
A group at Jackson Laboratories, who are developing statistical and computational tools for the study of genetics and molecular biology. Major interests seem to be QTL analysis and analysis of expression array results.
Biology > Bioinformatics > Research Groups
Jan 6, 2008
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Other links at Biology > Bioinformatics > Research Groups
Development of data-driven knowledge acquisition in computational molecular biology from diverse, distributed, biological data sets with applications in genetic network inference and macromolecular structure-function characterization.
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An Israeli lab focussing on: determination of T-cell epitopes along a protein sequence, protein-DNA interaction in transcription regulation, genome-scale analysis, sequence-structure relationship.
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Home page of the Molecular Information Theory group at the Center for Cancer Research Nanobiology Program, NIH.
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Commonwealth of Virginia shared resource. Based at Virginia Tech.
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The mission of this organization is to address fundamental questions in the life sciences and provide information and analytical resources to the wider biology research community.
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Group working on protein bioinformatics tools for fold recognition, modelling, docking, and protein interaction networks. Includes details of software, publications and databases.
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Provides links both to projects and the people involved, comparative dot plots of whole genomes and chromosomal fragments, a browsable ontology of bioinformatics, Comparative interaction tables, 3D visualisation of the yeast protein clusters in the INTERACT database, EMBL-SCALAR, Search at SWISSPROT using Conceptual BLAST.
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BIOMAP Project Website of Bioinformatics Group at Faculty of IT, University of Technology, Sydney, Australia.
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Homepage of a group at Stanford University who are interested in the problems of predicting biological function and structure from primary sequence. Developers of EMOTIF, EMATRIX, and 3MOTIF.
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Computational Biology Research Center at the National Institute of Advanced Industrial Science and Technology. The focus is on bioinformatics in terms of information theory independent from experimental-biology projects.
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