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PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors.
 
Creator Ahmed, Firoz
Kaundal, Rakesh
Raghava, g
 
Subject QR Microbiology
 
Description Dicer, an RNase III enzyme, plays a vital role in the processing of pre-miRNAs for generating the miRNAs. The structural and sequence features on pre-miRNA which can facilitate position and efficiency of cleavage are not well known. A precise cleavage by Dicer is crucial because an inaccurate processing can produce miRNA with different seed regions which can alter the repertoire of target genes.
 
Publisher BMC part of Springer Nature
 
Date 2013-10-09
 
Type Article
PeerReviewed
 
Relation https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S14-S9
http://crdd.osdd.net/open/2429/
 
Identifier Ahmed, Firoz and Kaundal, Rakesh and Raghava, g (2013) PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors. BMC bioinformatics, 14 Sup. S9. ISSN 1471-2105