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MotifPeeker: benchmarking epigenomic profiling methods using motifs
Hiranyamaya Dash1,2, Thomas Roberts1,2, Maria Weinert1,2
1Department of Brain Sciences, Imperial College London, Sir Michael Uren Hub, White City Campus, London W12 0BZ, United Kingdom.
Summary:
MotifPeeker benchmarks epigenomic profiling methods targeting transcription factors (TFs) where no 'gold standard' reference exists, using motif enrichment as a key metric. With minimal input, users can analyse their data in a single function and receive an intuitive HTML report.
Availability And Implementation:
MotifPeeker is available on Bioconductor (≥v3.21) at https://bioconductor.org/packages/MotifPeeker. The complete source code is available on GitHub at https://github.com/neurogenomics/MotifPeeker, with full documentation provided at https://neurogenomics.github.io/MotifPeeker. Additionally, the MotifPeeker Docker image is hosted on GitHub at https://github.com/neurogenomics/MotifPeeker/pkgs/container/motifpeeker.
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