PeaKO

Discoversing motifs in ChIP-seq datasets with knockout controls

Description: PeaKO identifies motifs relevant to ChIP-seq experiments by combining two differential analysis approaches. It often improves elucidation of the target motif over other methods and highlights the benefits of knockout controls.
Authors: Danielle Denisko, Coby Viner, Michael M Hoffman
Lab: Hoffman
Keywords: PeaKO, ChIP-seq, differential analysis, target motif, knockout controls, Python
Implementation Language: Python
Licensing: GPL-3

Citation

Danielle Denisko, Coby Viner, Michael M Hoffman, Motif elucidation in ChIP-seq datasets with a knockout control, Bioinformatics Advances, Volume 3, Issue 1, 2023, vbad031.
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