Computational, integrative, and comparative methods for the elucidation of genetic coexpression networks

Nicole E. Baldwin, Elissa J. Chesler, Stefan Kirov, Michael A. Langston, Jay R. Snoddy, Robert Williams, Bing Zhang

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Gene expression microarray data can be used for the assembly of genetic coexpression network graphs. Using mRNA samples obtained from recombinant inbred Mus musculus strains, it is possible to integrate allelic variation with molecular and higher-order phenotypes. The depth of quantitative genetic analysis of microarray data can be vastly enhanced utilizing this mouse resource in combination with powerful computational algorithms, platforms, and data repositories. The resulting network graphs transect many levels of biological scale. This approach is illustrated with the extraction of cliques of putatively coregulated genes and their annotation using gene ontology analysis and cis-regulatory element discovery. The causal basis for coregulation is detected through the use of quantitative trait locus mapping.

Original languageEnglish (US)
Pages (from-to)172-180
Number of pages9
JournalJournal of Biomedicine and Biotechnology
Volume2005
Issue number2
DOIs
StatePublished - Jun 30 2005

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Microarrays
Genes
Molecular Sequence Annotation
Gene Ontology
Quantitative Trait Loci
Microarray Analysis
Gene expression
Ontology
Phenotype
Gene Expression
Messenger RNA

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Health, Toxicology and Mutagenesis

Cite this

Computational, integrative, and comparative methods for the elucidation of genetic coexpression networks. / Baldwin, Nicole E.; Chesler, Elissa J.; Kirov, Stefan; Langston, Michael A.; Snoddy, Jay R.; Williams, Robert; Zhang, Bing.

In: Journal of Biomedicine and Biotechnology, Vol. 2005, No. 2, 30.06.2005, p. 172-180.

Research output: Contribution to journalArticle

Baldwin, Nicole E. ; Chesler, Elissa J. ; Kirov, Stefan ; Langston, Michael A. ; Snoddy, Jay R. ; Williams, Robert ; Zhang, Bing. / Computational, integrative, and comparative methods for the elucidation of genetic coexpression networks. In: Journal of Biomedicine and Biotechnology. 2005 ; Vol. 2005, No. 2. pp. 172-180.
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