Global landscape of a co-expressed gene network in barley and its application to gene discovery in Triticeae crops.

ABSTRACT: Accumulated transcriptome data can be used to investigate regulatory networks of genes involved in various biological systems. Co-expression analysis data sets generated from comprehensively collected transcriptome data sets now represent efficient resources that are capable of facilitating the discovery of genes with closely correlated expression patterns. In order to construct a co-expression network for barley, we analyzed 45 publicly available experimental series, which are composed of 1,347 sets of GeneChip data for barley. On the basis of a gene-to-gene weighted correlation coefficient, we constructed a global barley co-expression network and classified it into clusters of subnetwork modules. The resulting clusters are candidates for functional regulatory modules in the barley transc

SUBMITTER: Mochida K 

PROVIDER: S-EPMC3093127 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature