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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 |
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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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identifier | ISSN: 0976-9668 |
ispartof | Journal of natural science, biology and medicine, 2011-12, Vol.2 (3), p.33-33 |
issn | 0976-9668 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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