Peakhood: individual site context extraction for CLIP-seq peak regions.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 34734974.
- Also identified by DOI 10.1093/bioinformatics/btab755 and PMC identifier 8796379.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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. 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. Peakhood is freely available under MIT license at: https://github.com/BackofenLab/Peakhood. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Chromatin Immunoprecipitation Sequencing
- Software