computational methods for microrna target prediction

Clicks: 279
ID: 161929
2014
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Abstract
MicroRNAs (miRNAs) have been identified as one of the most important molecules that regulate gene expression in various organisms. miRNAs are short, 21–23 nucleotide-long, single stranded RNA molecules that bind to 3' untranslated regions (3' UTRs) of their target mRNAs. In general, they silence the expression of their target genes via degradation of the mRNA or by translational repression. The expression of miRNAs, on the other hand, also varies in different tissues based on their functions. It is significantly important to predict the targets of miRNAs by computational approaches to understand their effects on the regulation of gene expression. Various computational methods have been generated for miRNA target prediction but the resulting lists of candidate target genes from different algorithms often do not overlap. It is crucial to adjust the bioinformatics tools for more accurate predictions as it is equally important to validate the predicted target genes experimentally.
Reference Key
ekimler2014genes Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Semih Ekimler;Kaniye Sahin
Journal thermal science and engineering progress
Year 2014
DOI
10.3390/genes5030671
URL
http://www.mdpi.com/2073-4425/5/3/671
Keywords
bioinformatics mirna gene expression regulation

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