RECoN: Rice Environment Coexpression Network for Systems Level Analysis of Abiotic-Stress Response.

ABSTRACT: Transcriptional profiling is a prevalent and powerful approach for capturing the response of crop plants to environmental stresses, e.g., response of rice to drought. However, functionally interpreting the resulting genome-wide gene expression changes is severely hampered by the large gaps in our genomic knowledge about which genes work together in cellular pathways/processes in rice. Here, we present a new web resource - RECoN - that relies on a network-based approach to go beyond currently limited annotations in delineating functional and regulatory perturbations in new rice transcriptome datasets generated by a researcher. To build RECoN, we first enumerated 1,744 abiotic stress-specific gene modules covering 28,421 rice genes (>72% of the genes in the genome). Each module contains a gr

SUBMITTER: Krishnan A 

PROVIDER: S-EPMC5611544 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature