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Computational Genetics Laboratory

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Description: Develops and applies computational and statistical methods to detecting and characterizing genetic, genomic, and proteomic biomarkers of common human diseases.
Computational Genetics Laboratory FAIL (the browser should render some flash content, not this). Welcome to the Computational Genetics Laboratory in the in Lebanon, NH and are affiliated with the We are also affiliated with the
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Page title:Computational Genetics Laboratory
Keywords:epistasis, genetics, gene, bioinformatics, gene-gene interaction, disease, data mining, machine learning, systems biology, computational genetics, visual analytics, information visualization, genetic epidemiology, statistical genetics, quantitative genetics, systems genetics, complexity, complex system, complex adaptive system, nonlinear, Dartmouth, human genetics, epidemiology, biostatistics, evolutionary computation, genetic algorithm, genetic programming, multifactor dimensionality reduction, mdr, artificial intelligence, computational intelligence, evolution, evolutionary genetics, population genetics, genomics, proteomics, software, open source, java, computational evolution, relieff, symbolic, exploratory visual analysis, eva, symod, biomarker, classification, prediction, susceptibility, risk, feature selection, stochastic, search, algorithm, genome-wide assocation study, gwas, whole-genome, modeling, ecology, geography, structure, genetic analysis, qbs, nccc, dms, iqbs, entropy, DNA, epigenetics, epigenomics, methylation, cancer, hypertension, cardiovascular, heart, autoimmune, psychiatric
Description:This is the homepage of the Computational Genetics Laboratory in the Institute for Quantitative Biomedical Sciences (iQBS) at The Geisel School of Medicine at Dartmouth College in New Hampshire. Our goal is to develop, evaluate and apply novel computational methods and software for identifying genetic and genomic biomarkers associated with human health and disease. Our focus is on methods that embrace, rather than ignore, the complexity of the genotype-to-phenotype mapping relationship due to phenomena such as epistasis.
IP-address:66.96.161.149

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Creation Date: 2003-01-29T19:17:42Z
Expiry Date: 2018-01-29T19:17:42Z