Biowulf High Performance Computing at the NIH
GimmeMotifs: de novo motif prediction for ChIP-sequencing experiments

GimmeMotifs is a pipeline for transcription factor motif analysis written in Python. It incorporates an ensemble of computational tools to predict motifs de novo from ChIP-sequencing data. Similar redundant motifs are compared using the weighted information content similarity score and clustered using an iterative procedure. A comprehensive output report is generated with several different evaluation metrics to compare and evaluate the results.