Journal Article

Lost in translation: an assessment and perspective for computational microRNA target identification

Panagiotis Alexiou, Manolis Maragkakis, Giorgos L. Papadopoulos, Martin Reczko and Artemis G. Hatzigeorgiou

in Bioinformatics

Volume 25, issue 23, pages 3049-3055
Published in print December 2009 | ISSN: 1367-4803
Published online September 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp565
Lost in translation: an assessment and perspective for computational microRNA target identification

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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.

Contact: p.alexiou@fleming.gr

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  4906 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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