Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Uhl, Michael, Rabsch, Dominik, Eggenhofer, Florian, Backofen, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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
_version_ 1784641297093492736
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
work_keys_str_mv AT uhlmichael peakhoodindividualsitecontextextractionforclipseqpeakregions
AT rabschdominik peakhoodindividualsitecontextextractionforclipseqpeakregions
AT eggenhoferflorian peakhoodindividualsitecontextextractionforclipseqpeakregions
AT backofenrolf peakhoodindividualsitecontextextractionforclipseqpeakregions