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SFAPS: an R package for structure/function analysis of protein sequences based on informational spectrum method.
Deng, Su-Ping; Huang, De-Shuang.
Affiliation
  • Deng SP; Machine Learning and Systems Biology Lab, College of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Dianxin Building, Shanghai 201804, China.
  • Huang DS; Machine Learning and Systems Biology Lab, College of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, Dianxin Building, Shanghai 201804, China; College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China. Electronic address: dshuang@tongji.edu.cn.
Methods ; 69(3): 207-12, 2014 Oct 01.
Article in En | MEDLINE | ID: mdl-25132640
ABSTRACT
The R package SFAPS has been developed for structure/function analysis of protein sequences based on information spectrum method. The informational spectrum method employs the electron-ion interaction potential parameter as the numerical representation for the protein sequence, and obtains the characteristic frequency of a particular protein interaction after computing the Discrete Fourier Transform for protein sequences. The informational spectrum method is often used to analyze protein sequences, so we developed this software tool, which is implemented as an add-on package to the freely available and widely used statistical language R. Our package is distributed as open source code for Linux, Unix and Microsoft Windows. It is released under the GNU General Public License. The R package along with its source code and additional material are freely available at http//mlsbl.tongji.edu.cn/DBdownload.asp.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Amino Acid Sequence / Computational Biology Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2014 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Amino Acid Sequence / Computational Biology Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2014 Type: Article Affiliation country: China