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PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition

Authors :
Yingli Chen
Yuan Li
Zhen-He Yan
Lei Yang
Guangpeng Li
Yongchun Zuo
Source :
Bioinformatics (Oxford, England). 33(1)
Publication Year :
2016

Abstract

Summary The reduced amino acids perform powerful ability for both simplifying protein complexity and identifying functional conserved regions. However, dealing with different protein problems may need different kinds of cluster methods. Encouraged by the success of pseudo-amino acid composition algorithm, we developed a freely available web server, called PseKRAAC (the pseudo K-tuple reduced amino acids composition). By implementing reduced amino acid alphabets, the protein complexity can be significantly simplified, which leads to decrease chance of overfitting, lower computational handicap and reduce information redundancy. PseKRAAC delivers more capability for protein research by incorporating three crucial parameters that describes protein composition. Users can easily generate many different modes of PseKRAAC tailored to their needs by selecting various reduced amino acids alphabets and other characteristic parameters. It is anticipated that the PseKRAAC web server will become a very useful tool in computational proteomics and protein sequence analysis. Availability and Implementation Freely available on the web at http://bigdata.imu.edu.cn/psekraac Supplementary information Supplementary data are available at Bioinformatics online.

Details

ISSN :
13674811
Volume :
33
Issue :
1
Database :
OpenAIRE
Journal :
Bioinformatics (Oxford, England)
Accession number :
edsair.doi.dedup.....c2c620d90ed6241e455809e3f1f0244b