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BioMed Research International
Volume 2014, Article ID 935719, 8 pages
http://dx.doi.org/10.1155/2014/935719
Research Article

Predicting the Types of J-Proteins Using Clustered Amino Acids

1School of Public Health, Hebei United University, Tangshan 063000, China
2Key Laboratory for Neuroinformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
3Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China
4The National Research Center for Animal Transgenic Biotechnology, Inner Mongolia University, Hohhot 010021, China

Received 24 January 2014; Revised 4 March 2014; Accepted 13 March 2014; Published 2 April 2014

Academic Editor: Dong Wang

Copyright © 2014 Pengmian Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

According to the binomial distribution, we analyzed the distribution of the tripeptides and found the over-presented tripeptides in each J-protein families. Listed in Supporting Table S1 are the over-presented tripeptides with confidence level (=1-p) greater than 99.9%.

  1. Supplementary Table