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.
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Creator |
Ahmed, Firoz
Kaundal, Rakesh Raghava, g |
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Subject |
QR Microbiology
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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.
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Publisher |
BMC part of Springer Nature
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Date |
2013-10-09
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Type |
Article
PeerReviewed |
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Relation |
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-S14-S9
http://crdd.osdd.net/open/2429/ |
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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
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