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Peakhood: individual site context extraction for CLIP-seq peak regions
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796379/ https://www.ncbi.nlm.nih.gov/pubmed/34734974 http://dx.doi.org/10.1093/bioinformatics/btab755 |
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author | Uhl, Michael Rabsch, Dominik Eggenhofer, Florian Backofen, Rolf |
author_facet | Uhl, Michael Rabsch, Dominik Eggenhofer, Florian Backofen, Rolf |
author_sort | Uhl, Michael |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8796379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87963792022-01-31 Peakhood: individual site context extraction for CLIP-seq peak regions Uhl, Michael Rabsch, Dominik Eggenhofer, Florian Backofen, Rolf Bioinformatics Applications Notes 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. Oxford University Press 2021-11-04 /pmc/articles/PMC8796379/ /pubmed/34734974 http://dx.doi.org/10.1093/bioinformatics/btab755 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Uhl, Michael Rabsch, Dominik Eggenhofer, Florian Backofen, Rolf Peakhood: individual site context extraction for CLIP-seq peak regions |
title | Peakhood: individual site context extraction for CLIP-seq peak regions |
title_full | Peakhood: individual site context extraction for CLIP-seq peak regions |
title_fullStr | Peakhood: individual site context extraction for CLIP-seq peak regions |
title_full_unstemmed | Peakhood: individual site context extraction for CLIP-seq peak regions |
title_short | Peakhood: individual site context extraction for CLIP-seq peak regions |
title_sort | peakhood: individual site context extraction for clip-seq peak regions |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796379/ https://www.ncbi.nlm.nih.gov/pubmed/34734974 http://dx.doi.org/10.1093/bioinformatics/btab755 |
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