An informatics approach to systems neurogenetics.

Glenn D. Rosen, Elissa J. Chesler, Kenneth F. Manly, Robert Williams

Research output: Contribution to journalReview article

23 Citations (Scopus)

Abstract

We outline the theory behind complex trait analysis and systems genetics and describe web-accessible resources including GeneNetwork (GN) that can be used for rapid exploratory analysis and hypothesis testing. GN, in particular, is a tightly integrated suite of bioinformatics tools and data sets, which supports the investigation of complex networks of gene variants, molecules, and cellular processes that modulate complex traits, including behavior and disease susceptibility. Using various statistical tools, users are able to analyze gene expression in various brain regions and tissues, map loci that modulate these traits, and explore genetic covariance among traits. Taken together, these tools enable the user to begin to assess complex interactions of gene networks, and facilitate analysis of traits using a systems approach.

Original languageEnglish (US)
Pages (from-to)287-303
Number of pages17
JournalMethods in molecular biology (Clifton, N.J.)
Volume401
StatePublished - Jan 1 2007

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Informatics
Gene Regulatory Networks
Disease Susceptibility
Systems Analysis
Computational Biology
Gene Expression
Brain
Datasets

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

Cite this

An informatics approach to systems neurogenetics. / Rosen, Glenn D.; Chesler, Elissa J.; Manly, Kenneth F.; Williams, Robert.

In: Methods in molecular biology (Clifton, N.J.), Vol. 401, 01.01.2007, p. 287-303.

Research output: Contribution to journalReview article

Rosen, Glenn D. ; Chesler, Elissa J. ; Manly, Kenneth F. ; Williams, Robert. / An informatics approach to systems neurogenetics. In: Methods in molecular biology (Clifton, N.J.). 2007 ; Vol. 401. pp. 287-303.
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