BEST specifications

Information


Unique identifier OMICS_20907
Name BEST
Alternative name Bcell Epitope prediction using Support vector machine Tool
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes

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Publication for Bcell Epitope prediction using Support vector machine Tool

BEST institution(s)
School of Mathematical Sciences and LPMC, Nankai University, Tianjin, China; School of Informatics, Indiana University Purdue University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA; State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada
BEST funding source(s)
Supported by National Science Foundation of China (NSFC) grants 31050110432 and 31150110577, National Institutes of Health grant GM R01 085003, and by the Discovery grant 298328 from NSERC (National Science and Engineering Research Council) Canada; by the International Development Research Center, Ottawa, Canada (No. 104519-010) and Tianjin science and technology support project 08ZCHHZ00200; and by the Fundamental Research Funds for the Central Universities grant 65011491.

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