Gene coexpression network analysis as a source of functional annotation for rice genes.

ABSTRACT: With the existence of large publicly available plant gene expression data sets, many groups have undertaken data analyses to construct gene coexpression networks and functionally annotate genes. Often, a large compendium of unrelated or condition-independent expression data is used to construct gene networks. Condition-dependent expression experiments consisting of well-defined conditions/treatments have also been used to create coexpression networks to help examine particular biological processes. Gene networks derived from either condition-dependent or condition-independent data can be difficult to interpret if a large number of genes and connections are present. However, algorithms exist to identify modules of highly connected and biologically relevant genes within coexpression networks

SUBMITTER: Childs KL 

PROVIDER: S-EPMC3142134 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature