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Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs

Katsantoni, Maria and van Nimwegen, Erik and Zavolan, Mihaela. (2023) Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs. Genome Biology, 24 (77). pp. 1-25.

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Official URL: https://edoc.unibas.ch/94373/

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Abstract

We present RCRUNCH, an end-to-end solution to CLIP data analysis for identification of binding sites and sequence specificity of RNA-binding proteins. RCRUNCH can analyze not only reads that map uniquely to the genome but also those that map to multiple genome locations or across splice boundaries and can consider various types of background in the estimation of read enrichment. By applying RCRUNCH to the eCLIP data from the ENCODE project, we have constructed a comprehensive and homogeneous resource of in-vivo-bound RBP sequence motifs. RCRUNCH automates the reproducible analysis of CLIP data, enabling studies of post-transcriptional control of gene expression.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Zavolan)
05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
UniBasel Contributors:Zavolan, Mihaela and Katsantoni, Maria and van Nimwegen, Erik
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BioMed Central
ISSN:1474-7596
e-ISSN:1474-760X
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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edoc DOI:
Last Modified:19 Apr 2023 10:54
Deposited On:19 Apr 2023 10:54

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