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htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets

SUMMARY: Transcriptome-wide detection of binding sites of RNA-binding proteins is achieved using Individual-nucleotide crosslinking and immunoprecipitation (iCLIP) and its derivative enhanced CLIP (eCLIP) sequencing methods. Here, we introduce htseq-clip, a python package developed for preprocessing...

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Autores principales: Sahadevan, Sudeep, Sekaran, Thileepan, Ashaf, Nadia, Fritz, Marko, Hentze, Matthias W, Huber, Wolfgang, Schwarzl, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825771/
https://www.ncbi.nlm.nih.gov/pubmed/36394253
http://dx.doi.org/10.1093/bioinformatics/btac747
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author Sahadevan, Sudeep
Sekaran, Thileepan
Ashaf, Nadia
Fritz, Marko
Hentze, Matthias W
Huber, Wolfgang
Schwarzl, Thomas
author_facet Sahadevan, Sudeep
Sekaran, Thileepan
Ashaf, Nadia
Fritz, Marko
Hentze, Matthias W
Huber, Wolfgang
Schwarzl, Thomas
author_sort Sahadevan, Sudeep
collection PubMed
description SUMMARY: Transcriptome-wide detection of binding sites of RNA-binding proteins is achieved using Individual-nucleotide crosslinking and immunoprecipitation (iCLIP) and its derivative enhanced CLIP (eCLIP) sequencing methods. Here, we introduce htseq-clip, a python package developed for preprocessing, extracting and summarizing crosslink site counts from i/eCLIP experimental data. The package delivers crosslink site count matrices along with other metrics, which can be directly used for filtering and downstream analyses such as the identification of differential binding sites. AVAILABILITY AND IMPLEMENTATION: The Python package htseq-clip is available via pypi (python package index), bioconda and the Galaxy Tool Shed under the open source MIT License. The code is hosted at https://github.com/EMBL-Hentze-group/htseq-clip and documentation is available under https://htseq-clip.readthedocs.io/en/latest.
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spelling pubmed-98257712023-01-10 htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets Sahadevan, Sudeep Sekaran, Thileepan Ashaf, Nadia Fritz, Marko Hentze, Matthias W Huber, Wolfgang Schwarzl, Thomas Bioinformatics Applications Note SUMMARY: Transcriptome-wide detection of binding sites of RNA-binding proteins is achieved using Individual-nucleotide crosslinking and immunoprecipitation (iCLIP) and its derivative enhanced CLIP (eCLIP) sequencing methods. Here, we introduce htseq-clip, a python package developed for preprocessing, extracting and summarizing crosslink site counts from i/eCLIP experimental data. The package delivers crosslink site count matrices along with other metrics, which can be directly used for filtering and downstream analyses such as the identification of differential binding sites. AVAILABILITY AND IMPLEMENTATION: The Python package htseq-clip is available via pypi (python package index), bioconda and the Galaxy Tool Shed under the open source MIT License. The code is hosted at https://github.com/EMBL-Hentze-group/htseq-clip and documentation is available under https://htseq-clip.readthedocs.io/en/latest. Oxford University Press 2022-11-17 /pmc/articles/PMC9825771/ /pubmed/36394253 http://dx.doi.org/10.1093/bioinformatics/btac747 Text en © The Author(s) 2022. 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 Note
Sahadevan, Sudeep
Sekaran, Thileepan
Ashaf, Nadia
Fritz, Marko
Hentze, Matthias W
Huber, Wolfgang
Schwarzl, Thomas
htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title_full htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title_fullStr htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title_full_unstemmed htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title_short htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets
title_sort htseq-clip: a toolset for the preprocessing of eclip/iclip datasets
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825771/
https://www.ncbi.nlm.nih.gov/pubmed/36394253
http://dx.doi.org/10.1093/bioinformatics/btac747
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