Computational methods to identify miRNA targets

Hammell, M. (September 2010) Computational methods to identify miRNA targets. Seminars in Cell & Developmental Biology, 21 (7). pp. 738-44. ISSN 1084-9521

URL: http://www.ncbi.nlm.nih.gov/pubmed/20079866
DOI: 10.1016/j.semcdb.2010.01.004

Abstract

MicroRNAs (miRNAs) are short RNA molecules that regulate the post-transcriptional expression of their target genes. This regulation may take the form of stable translational or degradation of the target transcript, although the mechanisms governing the outcome of miRNA-mediated regulation remain largely unknown. While it is becoming clear that miRNAs are core components of gene regulatory networks, elucidating precise roles for each miRNA within these networks will require an accurate means of identifying target genes and assessing the impact of miRNAs on individual targets. Numerous computational methods for predicting targets are currently available. These methods vary widely in their emphasis, accuracy, and ease of use for researchers. This review will focus on a comparison of the available computational methods in animals, with an emphasis on approaches that are informed by experimental analysis of microRNA:target complexes.

Item Type: Paper
Uncontrolled Keywords: Animals Computational Biology/*methods Humans MicroRNAs/*isolation & purification RNA-Binding Proteins/metabolism RNA-Induced Silencing Complex/metabolism
Subjects: bioinformatics > computational biology
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > miRNA
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > miRNA
CSHL Authors:
Communities: CSHL labs > Hammell M. lab
CSHL Cancer Center Program > Gene Regulation and Cell Proliferation
Depositing User: Matt Covey
Date: September 2010
Date Deposited: 06 Nov 2014 17:14
Last Modified: 13 Oct 2015 14:16
PMCID: PMC2891825
Related URLs:
URI: https://repository.cshl.edu/id/eprint/30880

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