Computational prediction of submergence responsive microRNA and their binding position within the genome of Oryza sativa.

ABSTRACT:

Background

MicroRNAs (miRNAs) are small noncoding RNAs which play crucial role in response to the adverse biotic and abiotic stress conditions at the post transcriptional level. The functions of the miRNAs are generally based on complementarity to their target region.

Results

We used the online tool psRNA Target for the identification of submergence responsive miRNA using the gene expression profile related to the submergence condition. We wrote a perl script for the prediction of miRNA target gene. The position based feature of the script increases the overall specificity of the program. Our perl script performed well on the genomic data of Oryza sativa and produced significant results with their positions. These results were analyzed on the basis of complementarity and the

SUBMITTER: Paul P 

PROVIDER: S-EPMC3819571 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature