| Literature DB >> 19789267 |
Panagiotis Alexiou1, Manolis Maragkakis, Giorgos L Papadopoulos, Martin Reczko, Artemis G Hatzigeorgiou.
Abstract
UNLABELLED: MicroRNAs (miRNAs) are a class of short endogenously expressed RNA molecules that regulate gene expression by binding directly to the messenger RNA of protein coding genes. They have been found to confer a novel layer of genetic regulation in a wide range of biological processes. Computational miRNA target prediction remains one of the key means used to decipher the role of miRNAs in development and disease. Here we introduce the basic idea behind the experimental identification of miRNA targets and present some of the most widely used computational miRNA target identification programs. The review includes an assessment of the prediction quality of these programs and their combinations. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Mesh:
Substances:
Year: 2009 PMID: 19789267 DOI: 10.1093/bioinformatics/btp565
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937