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Computational analysis of cotton mirnas targeting genome of Cotton leaf curl Multan Virus and associated satellite DNA

In this computational study bioinformatics approaches were applied to identify miRNA -regulated genes that capture the sequence and location characteristics of miRNA recognition elements (MREs) to predict Gossypium hirsutum miRNA targets in CLCuMV genomes and associated satellites.

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Published in:Journal of natural science, biology and medicine biology and medicine, 2011-12, Vol.2 (3), p.33-33
Main Authors: Baig, M, Shweta, Khan, Jawaid
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Language:English
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container_title Journal of natural science, biology and medicine
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creator Baig, M
Shweta
Khan, Jawaid
description In this computational study bioinformatics approaches were applied to identify miRNA -regulated genes that capture the sequence and location characteristics of miRNA recognition elements (MREs) to predict Gossypium hirsutum miRNA targets in CLCuMV genomes and associated satellites.
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ispartof Journal of natural science, biology and medicine, 2011-12, Vol.2 (3), p.33-33
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2229-7707
language eng
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source Open Access: PubMed Central; Publicly Available Content (ProQuest)
subjects Cotton
Cotton (Plant)
Deoxyribonucleic acid
DNA
Gene targeting
Genetic aspects
Genomes
MicroRNA
Plant viruses
Properties
Satellite DNA
Satellites
Virus diseases of plants
title Computational analysis of cotton mirnas targeting genome of Cotton leaf curl Multan Virus and associated satellite DNA
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