Document Details

Document Type : Article In Journal 
Document Title :
iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition
iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition
 
Document Language : English 
Abstract : Predominantly occurring on cytosine, DNA methylation is a process by which cells can modify their DNAs to change the expression of gene products. It plays very important roles in life development but also in forming nearly all types of cancer. Therefore, knowledge of DNA methylation sites is significant for both basic research and drug development. Given an uncharacterized DNA sequence containing many cytosine residues, which one can be methylated and which one cannot? With the avalanche of DNA sequences generated during the postgenomic age, it is highly desired to develop computational methods for accurately identifying the methylation sites in DNA. Using the trinucleotide composition, pseudo amino acid components, and a dataset-optimizing technique, we have developed a new predictor called "iDNA-Methyl" that has achieved remarkably higher success rates in identifying the DNA methylation sites than the existing predictors. A user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/iDNA-Methyl, where users can easily get their desired results. We anticipate that the web-server predictor will become a very useful high-throughput tool for basic research and drug development and that the novel approach and technique can also be used to investigate many other DNA-related problems and genome analysis. 
ISSN : 1096-0309 
Journal Name : Anal Biochem 
Volume : 474 
Issue Number : 0 
Publishing Year : 1436 AH
2015 AD
 
Article Type : Article 
Added Date : Monday, April 25, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Zi LiuLiu, Zi Investigator  
Xuan XiaoXiao, Xuan Researcher xxiao@gordonlifescience.org
Wang-Ren QiuQiu, Wang-Ren Researcher qiuone@163.com
Kuo-Chen ChouChou, Kuo-Chen Researcher  

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