Employing machine learning for reliable miRNA target identification in plants.

ABSTRACT:

Background

miRNAs are ~21 nucleotide long small noncoding RNA molecules, formed endogenously in most of the eukaryotes, which mainly control their target genes post transcriptionally by interacting and silencing them. While a lot of tools has been developed for animal miRNA target system, plant miRNA target identification system has witnessed limited development. Most of them have been centered around exact complementarity match. Very few of them considered other factors like multiple target sites and role of flanking regions.

Result

In the present work, a Support Vector Regression (SVR) approach has been implemented for plant miRNA target identification, utilizing position specific dinucleotide density variation information around the target sites, to yield highly reliable

SUBMITTER: Jha A 

PROVIDER: S-EPMC3293931 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature