Discovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser.

ABSTRACT: Tools that provide improved ability to relate genotype to phenotype have the potential to accelerate breeding for desired traits and to improve our understanding of the molecular variants that underlie phenotypes. The availability of large-scale gene expression profiles in maize provides an opportunity to advance our understanding of complex traits in this agronomically important species. We built co-expression networks based on genome-wide expression data from a variety of maize accessions as well as an atlas of different tissues and developmental stages. We demonstrate that these networks reveal clusters of genes that are enriched for known biological function and contain extensive structure which has yet to be characterized. Furthermore, we found that co-expression networks derived from

SUBMITTER: Schaefer RJ 

PROVIDER: S-EPMC4055606 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature