Computational gene expression profiling under salt stress reveals patterns of co-expression.

ABSTRACT: Plants respond differently to environmental conditions. Among various abiotic stresses, salt stress is a condition where excess salt in soil causes inhibition of plant growth. To understand the response of plants to the stress conditions, identification of the responsible genes is required. Clustering is a data mining technique used to group the genes with similar expression. The genes of a cluster show similar expression and function. We applied clustering algorithms on gene expression data of Solanum tuberosum showing differential expression in Capsicum annuum under salt stress. The clusters, which were common in multiple algorithms were taken further for analysis. Principal component analysis (PCA) further validated the findings of other cluster algorithms by visualizing their clusters

SUBMITTER: Sanchita 

PROVIDER: S-EPMC4778677 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature