Evidence map›Paper›PMID 36894192›Full record

ArticleRNA (New York, N.Y.)2023

Anob M Chakrabarti, Charlotte Capitanchik, Jernej Ule, Nicholas M Luscombe

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 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
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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

4 authors.

Anob M ChakrabartiThe Francis Crick Institute, London, NW1 4AT, United Kingdom anob.chakrabarti@crick.ac.uk.ORCID 0000-0002-6841-5718
Charlotte CapitanchikThe Francis Crick Institute, London, NW1 4AT, United Kingdom.ORCID 0000-0001-9590-2792
Jernej UleThe Francis Crick Institute, London, NW1 4AT, United Kingdom.ORCID 0000-0002-2452-4277
Nicholas M LuscombeThe Francis Crick Institute, London, NW1 4AT, United Kingdom.ORCID 0000-0001-5293-4778

Funding

Cancer Research UK FC010110Medical Research Council FC010110Wellcome TrustWellcome Trust 110292/Z/15/ZWellcome Trust 215593/Z/19/ZWellcome Trust FC010110
6 · The paper itself

Abstract

CLIP technologies are now widely used to study RNA-protein interactions and many data sets are now publicly available. An important first step in CLIP data exploration is the visual inspection and assessment of processed genomic data on selected genes or regions and performing comparisons: either across conditions within a particular project, or incorporating publicly available data. However, the output files produced by data processing pipelines or preprocessed files available to download from data repositories are often not suitable for direct comparison and usually need further processing. Furthermore, to derive biological insight it is usually necessary to visualize a CLIP signal alongside other data such as annotations, or orthogonal functional genomic data (e.g., RNA-seq). We have developed a simple, but powerful, command-line tool:

Indexed as

GenomicsSoftwareGenomeRNA-SeqCLIP technologiesdata integrationdata visualizationRNA–protein interactions

Identifiers

PMID36894192
PMCPMC10187674

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.