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Charlotte Capitanchik
Charlotte Capitanchik

#13nf-core/clipseq 2.0 - a robust Nextflow pipeline for comprehensive CLIP data analysis

Poster Group 2
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Charlotte Capitanchik, Chris Cheshire, Sam Ireland, D. Marc Jones, Rupert Faraway, Ira A. Iosub, Oscar G. Wilkins, Charlotte West, Nicholas M. Luscombe, Anob Chakrabarti, and Jernej Ule

Crosslinking and immunoprecipitation (CLIP) technologies have become a central component of the molecular biologists’ toolkit to study protein-RNA interactions and thus to uncover core principles of RNA biology. There has been a proliferation of CLIP-based experimental protocols, as well as computational tools, especially for peak-calling. Consequently, there is an urgent need for a well-documented bioinformatic pipeline that enshrines the principles of robustness, reproducibility, scalability, portability and flexibility while embracing the diversity of experimental and computational CLIP tools. To address this, we present version 2.0 of nf-core/clipseq - a robust Nextflow pipeline for quality control and analysis of CLIP sequencing data. In v2.0 we offer enhanced motif analysis, grouped data analysis, summaries and metagene analysis among further advanced features. Alongside being available at, users can freely analyse their data through the pipeline via an intuitive graphical user interface from https:/

nf-core/clipseq 2.0 - a robust Nextflow pipeline for comprehensive CLIP data analysis
Charlotte Capitanchik

Charlotte Capitanchik

Postdoctoral Research Associate at UK DRI at King's College London