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Updated: Oct 14, 2025

3' End Sequencing Library Preparation with A-seq2
Published on: October 10, 2017
Peakhood: individual site context extraction for CLIP-seq peak regions
Michael Uhl1, Dominik Rabsch1, Florian Eggenhofer1
1Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.
Motivation:
CLIP-seq is by far the most widely used method to determine transcriptome-wide binding sites of RNA-binding proteins (RBPs). The binding site locations are identified from CLIP-seq read data by tools termed peak callers. Many RBPs bind to a spliced RNA (i.e. transcript) context, but all currently available peak callers only consider and report the genomic context. To accurately model protein binding behavior, a tool is needed for the individual context assignment to CLIP-seq peak regions.
Results:
Here we present Peakhood, the first tool that utilizes CLIP-seq peak regions identified by peak callers, in tandem with CLIP-seq read information and genomic annotations, to determine which context applies, individually for each peak region. For sites assigned to transcript context, it further determines the most likely splice variant, and merges results for any number of datasets to obtain a comprehensive collection of transcript context binding sites.
Availability And Implementation:
Peakhood is freely available under MIT license at: https://github.com/BackofenLab/Peakhood.
Supplementary Information:
Supplementary data are available at Bioinformatics online.

