repRNA: a web server for generating various feature vectors of RNA sequences

被引:127
|
作者
Liu, Bin [1 ,2 ,3 ]
Liu, Fule [1 ]
Fang, Longyun [1 ]
Wang, Xiaolong [1 ,2 ]
Chou, Kuo-Chen [3 ,4 ]
机构
[1] Harbin Inst Technol, Shenzhen Grad Sch, Sch Comp Sci & Technol, Shenzhen 518055, Guangdong, Peoples R China
[2] Harbin Inst Technol, Shenzhen Grad Sch, Key Lab Network Oriented Intelligent Computat, Shenzhen 518055, Guangdong, Peoples R China
[3] Gordon Life Sci Inst, Boston, MA 02478 USA
[4] King Abdulaziz Univ, Ctr Excellence Genom Med Res, Jeddah 21589, Saudi Arabia
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
repRNA; Secondary structure of RNA; PseAAC; PseKNC; repDNA; Physicochemical properties; User-defined properties; AMINO-ACID-COMPOSITION; PROTEIN SUBCELLULAR-LOCALIZATION; PHYSICOCHEMICAL PROPERTIES; CHOUS PSEAAC; PSEUDO; PREDICTION; MODES; DNA; IDENTIFICATION; MACHINE;
D O I
10.1007/s00438-015-1078-7
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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/
引用
收藏
页码:473 / 481
页数:9
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