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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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Detalles Bibliográficos
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
Descripción
Sumario: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.