Evidence map›Paper›PMID 37829674›Full record

ArticleWellcome open research2023

nf-core/clipseq - a robust Nextflow pipeline for comprehensive CLIP data analysis.

Charlotte West, Charlotte Capitanchik, Chris Cheshire, Nicholas M Luscombe, Anob Chakrabarti, Jernej Ule

Abstract read
In one paragraph

Article in Wellcome open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Charlotte WestThe Francis Crick Institute, London, England, UK.
Charlotte CapitanchikThe Francis Crick Institute, London, England, UK.
Chris CheshireThe Francis Crick Institute, London, England, UK.
Nicholas M LuscombeThe Francis Crick Institute, London, England, UK.
Anob ChakrabartiThe Francis Crick Institute, London, England, UK.ORCID https://orcid.org/0000-0002-6841-5718
Jernej UleThe Francis Crick Institute, London, England, UK.ORCID https://orcid.org/0000-0002-2452-4277

Funding

Wellcome Trust FC001110
6 · The paper itself

Abstract

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 nf-core/clipseq - a robust Nextflow pipeline for quality control and analysis of CLIP sequencing data. It is part of the international nf-core community effort to develop and curate a best-practice, gold-standard set of pipelines for data analysis. The standards enabled by Nextflow and nf-core, including workflow management, version control, continuous integration and containerisation ensure that these key needs are met. Furthermore, multiple tools are implemented (

Indexed as

bioinformatic pipelinesCLIPNextflowpeak callingreproducible researchRNA-protein interactions

Identifiers

PMID37829674
PMCPMC10565428

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.