W-ChIPMotifs is a web application tool for de novo motif discovery from ChIP-based high throughput data.
The web tool is based on our previous ChIPMotifs program which is a de novo motif finding tool developed for ChIP-based high through-put data and incorporated various ab initio motif discovery tools such as MEME, MaMF, Weeder and optimized the significance of the detected motifs by using bootstrap re-sampling statistic method and a Fisher test. Using of randomized statistical model like bootstrap re-sampling can significantly increase the accuracy of the detected motifs. In our web tool, we have modified the program in two aspects: 1) we have refined the p-value with a Bonferroni correction; 2) 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 file will be mailed to users.
Please cite the W-ChIPMotifs paper if you use this service. Download the paper here.