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Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4665125
Author(s) Katsantoni, Maria; van Nimwegen, Erik; Zavolan, Mihaela
Author(s) at UniBasel Zavolan, Mihaela
Katsantoni, Maria
van Nimwegen, Erik
Year 2023
Title Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs
Journal Genome Biology
Volume 24
Number 1
Pages / Article-Number 77
Mesh terms RNA, metabolism; Sequence Analysis, RNA; Binding Sites, genetics; Protein Binding; RNA-Binding Proteins, metabolism
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.
Publisher BioMed Central
ISSN/ISBN 1474-7596 ; 1474-760X
edoc-URL https://edoc.unibas.ch/94373/
Full Text on edoc Available
Digital Object Identifier DOI 10.1186/s13059-023-02913-0
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/37069586
Document type (ISI) Journal Article
 
   

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10/05/2024