Document Details

Document Type : Article In Journal 
Document Title :
repRNA: a web server for generating various feature vectors of RNA sequences
repRNA: a web server for generating various feature vectors of RNA sequences
 
Document Language : English 
Abstract : With the rapid growth of RNA sequences generated in the postgenomic age, it is highly desired to develop a flexible method that can generate various kinds of vectors to represent these sequences by focusing on their different features. This is because nearly all the existing machine-learning methods, such as SVM (support vector machine) and KNN (k-nearest neighbor), can only handle vectors but not sequences. To meet the increasing demands and speed up the genome analyses, we have developed a new web server, called "representations of RNA sequences" (repRNA). Compared with the existing methods, repRNA is much more comprehensive, flexible and powerful, as reflected by the following facts: (1) it can generate 11 different modes of feature vectors for users to choose according to their investigation purposes; (2) it allows users to select the features from 22 built-in physicochemical properties and even those defined by users' own; (3) the resultant feature vectors and the secondary structures of the corresponding RNA sequences can be visualized. The repRNA web server is freely accessible to the public at http://bioinformatics.hitsz.edu.cn/repRNA/ . 
ISSN : 1617-4623 
Journal Name : Mol Genet Genomics 
Volume : 291 
Issue Number : 1 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Monday, May 2, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Bin LiuLiu, Bin Researcher bliu@gordonlifescience.org
Fule LiuLiu, Fule Researcher liufule12@gmail.com
Longyun FangFang, Longyun Researcher dragoncloudest@gmail.com
Xiaolong WangWang, Xiaolong Researcher wangxl@insun.hit.edu.cn
Kuo‑Chen ChouChou, Kuo‑Chen Researcher kcchou@gordonlifescience.org

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