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Bioinformatics advances
Published

MotifPeeker: benchmarking epigenomic profiling methods using motifs

Authors

Hiranyamaya Dash, Thomas Roberts, Maria Weinert, Nathan Skene

Abstract

Bioinform Adv. 2026 Feb 15;6(1):vbag023. doi: 10.1093/bioadv/vbag023. eCollection 2026.

ABSTRACT

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.

PMID:41909610 | PMC:PMC13020906 | DOI:10.1093/bioadv/vbag023

UK DRI Authors

Nathan Skene

Dr Nathan Skene

Group Leader

Identifying the cell types and intracellular processes affected by the genetic loci which underlie neurodegenerative diseases

Dr Nathan Skene