Document Details

Document Type : Article In Journal 
Document Title :
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition
 
Document Language : English 
Abstract : Motivation: Enhancers are of short regulatory DNA elements. They can be bound with proteins (activators) to activate transcription of a gene, and hence play a critical role in promoting gene transcription in eukaryotes. With the avalanche of DNA sequences generated in the post-genomic age, it is a challenging task to develop computational methods for timely identifying enhancers from extremely complicated DNA sequences. Although some e􀁽orts have been made in this regard, they were limited at only identifying whether a query DNA element being of an enhancer or not. According to the distinct levels of biological activities and regulatory e􀁽ects on target genes, however, enhancers should be further classi􀂀ed into strong and weak ones in strength. Results: In view of this, a two-layer predictor called ‘iEnhancer-2L’ was proposed by formulating DNA elements with the ‘pseudo k-tuple nucleotide composition’, into which the six DNA local parameters were incorporated. To the best of our knowledge, it is the 􀂀rst computational predictor ever established for identifying not only enhancers, but also their strength. Rigorous cross-validation tests have indicated that iEnhancer-2L holds very high potential to become a useful tool for genome analysis. 
ISSN : 1460-2059 
Journal Name : Bioinformatics 
Volume : 32 
Issue Number : 3 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Monday, July 10, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Bin LiuLiu, Bin ResearcherDoctorate 
Longyun FangFang, Longyun ResearcherDoctorate 
Ren LongLong, Ren ResearcherDoctorate 
Xun LanLan, Xun ResearcherDoctorate 
Kuo-Chen ChouChou, Kuo-Chen ResearcherDoctorate 

Files

File NameTypeDescription
 41933.pdf pdf 

Back To Researches Page