Computational prediction of miRNAs and their targets in Phaseolus vulgaris using simple sequence repeat signatures.

ABSTRACT:

Background

MicroRNAs (miRNAs) are endogenous, noncoding, short RNAs directly involved in regulating gene expression at the post-transcriptional level. In spite of immense importance, limited information of P. vulgaris miRNAs and their expression patterns prompted us to identify new miRNAs in P. vulgaris by computational methods. Besides conventional approaches, we have used the simple sequence repeat (SSR) signatures as one of the prediction parameter. Moreover, for all other parameters including normalized Shannon entropy, normalized base pairing index and normalized base-pair distance, instead of taking a fixed cut-off value, we have used 99% probability range derived from the available data.

Results

We have identified 208 mature miRNAs in P. vulgaris belonging to 118 fami

SUBMITTER: Nithin C 

PROVIDER: S-EPMC4464996 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature