W-ChIPMotifs: a web application tool for de novo motif discovery from ChIP-based high-throughput data

被引:33
作者
Jin, Victor X. [1 ]
Apostolos, Jeff [1 ]
Nagisetty, Naga Satya Venkateswara Ra [2 ]
Farnham, Peggy J. [3 ]
机构
[1] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA
[2] Univ Memphis, Bioinformat Program, Memphis, TN 38152 USA
[3] Univ Calif Davis, Genome Ctr, Davis, CA 95616 USA
关键词
TRANSCRIPTION FACTOR-BINDING; CHROMATIN IMMUNOPRECIPITATION; HUMAN GENOME; DNA; SEQUENCE; SITES; ALGORITHM; PROFILES;
D O I
10.1093/bioinformatics/btp570
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
W-ChIPMotifs is a web application tool that provides a user friendly interface for de novo motif discovery. The web tool is based on our previous ChIPMotifs program which is a de novo motifinding tool developed for ChIP-based high-throughput data and incorporated various ab initio motif discovery tools such as MEME, MaMF, Weeder and optimized the significance of the detected motifs by using a bootstrap resampling statistic method and a Fisher test. Use of a randomized statistical model like bootstrap resampling can significantly increase the accuracy of the detected motifs. In our web tool, we have modified the program in two aspects: (i) we have refined the P-value with a Bonferroni correction; (ii) we have incorporated the STAMP tool to infer phylogenetic information and to determine the detected motifs if they are novel and known using the TRANSFAC and JASPAR databases. A comprehensive result. le is mailed to users.
引用
收藏
页码:3191 / 3193
页数:3
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