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Discriminative motif analysis of high-throughput dataset
2013
Computer applications in the biosciences : CABIOS
Motivation: High-throughput ChIP-seq studies typically identify thousands of peaks for a single transcription factor (TF). It is common for traditional motif discovery tools to predict motifs that are statistically significant against a naïve background distribution but are of questionable biological relevance. Results: We describe a simple yet effective algorithm for discovering differential motifs between two sequence datasets that is effective in eliminating systematic biases and scalable to
doi:10.1093/bioinformatics/btt615
pmid:24162561
pmcid:PMC3957073
fatcat:5ctlxbuziza6jhuqzmkrtuwznm