Identification of clustered microRNAs using an ab initio prediction method.

ABSTRACT:

Background

MicroRNAs (miRNAs) are endogenous 21 to 23-nucleotide RNA molecules that regulate protein-coding gene expression in plants and animals via the RNA interference pathway. Hundreds of them have been identified in the last five years and very recent works indicate that their total number is still larger. Therefore miRNAs gene discovery remains an important aspect of understanding this new and still widely unknown regulation mechanism. Bioinformatics approaches have proved to be very useful toward this goal by guiding the experimental investigations.

Results

In this work we describe our computational method for miRNA prediction and the results of its application to the discovery of novel mammalian miRNAs. We focus on genomic regions around already known miRNAs, in orde

SUBMITTER: Sewer A 

PROVIDER: S-EPMC1315341 | biostudies-literature | 2005 Nov

REPOSITORIES: biostudies-literature