| Literature DB >> 22077698 |
Neil H Tan Gana1, Ann F B Victoriano, Takashi Okamoto.
Abstract
MicroRNAs (miRNAs) are endogenous single-stranded, 22-nt (nucleotide) RNAs which complement mRNA to initiate post-transcriptional regulation. This review presents updates and evaluations of the public domain resources available for miRNA identification and target prediction toward their utilization in the biomedical research approach. This study discusses the basic principles of miRNA computational studies based on the nature and mechanism of action of miRNAs. Furthermore, we have explored fifty-nine current online miRNA tools that can be categorized into three classes in this paper: (i) miRNA identification; (ii) miRNA target prediction; and (iii) specialized miRNA tools.Mesh:
Substances:
Year: 2011 PMID: 22077698 DOI: 10.1111/j.1365-2443.2011.01564.x
Source DB: PubMed Journal: Genes Cells ISSN: 1356-9597 Impact factor: 1.891