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Center of Excellence In Genomic Medicine Research
Document Details
Document Type
:
Article In Journal
Document Title
:
iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition
iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition
Document Language
:
English
Abstract
:
Occurring at adenine (A) with the consensus motif GAC, N(6)-methyladenosine (m(6)A) is one of the most abundant modifications in RNA, which plays very important roles in many biological processes. The nonuniform distribution of m(6)A sites across the genome implies that, for better understanding the regulatory mechanism of m(6)A, it is indispensable to characterize its sites in a genome-wide scope. Although a series of experimental technologies have been developed in this regard, they are both time-consuming and expensive. With the avalanche of RNA sequences generated in the postgenomic age, it is highly desired to develop computational methods to timely identify their m(6)A sites. In view of this, a predictor called "iRNA-Methyl" is proposed by formulating RNA sequences with the "pseudo dinucleotide composition" into which three RNA physiochemical properties were incorporated. Rigorous cross-validation tests have indicated that iRNA-Methyl holds very high potential to become a useful tool for genome analysis. For the convenience of most experimental scientists, a web-server for iRNA-Methyl has been established at http://lin.uestc.edu.cn/server/iRNA-Methyl by which users can easily get their desired results without needing to go through the mathematical details.
ISSN
:
1096-0309
Journal Name
:
Anal Biochem
Volume
:
490
Issue Number
:
1
Publishing Year
:
1436 AH
2015 AD
Article Type
:
Article
Added Date
:
Monday, April 18, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Wei Chen
Chen, Wei
Investigator
chenweiimu@gmail.com
Pengmian Feng
Feng, Pengmian
Researcher
Hui Ding
Ding, Hui
Researcher
Hao Lin
Lin, Hao
Researcher
hlin@uestc.edu.cn
Kuo-Chen Chou
Chou, Kuo-Chen
Researcher
kcchou@gordonlifescience.org
Files
File Name
Type
Description
38614.pdf
pdf
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