Evidence map›Paper›PMID 34412594›Full record

ArticleBMC bioinformatics2021

Searchlight: automated bulk RNA-seq exploration and visualisation using dynamically generated R scripts.

John J Cole, Bekir A Faydaci, David McGuinness, Robin Shaw, Rose A Maciewicz, Neil A Robertson, Carl S Goodyear

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

John J ColeInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK. John.Cole@glasgow.ac.uk.ORCID http://orcid.org/0000-0002-6386-766X
Bekir A FaydaciInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK.
David McGuinnessGlasgow Polyomics, Wolfson-Wohl Building, University of Glasgow, Garscube Estate, Glasgow, G61 1BD, Scotland, UK.
Robin ShawBeatson Institute for Cancer Research and University of Glasgow, Garscube Estate, Glasgow, G61 1BD, Scotland, UK.
Rose A MaciewiczInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK.
Neil A RobertsonBeatson Institute for Cancer Research and University of Glasgow, Garscube Estate, Glasgow, G61 1BD, Scotland, UK.
Carl S GoodyearInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, Scotland, UK. Carl.Goodyear@glasgow.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnce bulk RNA-seq data has been processed, i.e. aligned and then expression and differential tables generated, there remains the essential process where the biology is explored, visualized and interpreted. Without the use of a visualisation and interpretation pipeline this step can be time consuming and laborious, and is often completed using R. Though commercial visualisation and interpretation pipelines are comprehensive, freely available pipelines are currently more limited.

resultsHere we demonstrate Searchlight, a freely available bulk RNA-seq visualisation and interpretation pipeline. Searchlight provides: a comprehensive statistical and visual analysis, focusing on the global, pathway and single gene levels; compatibility with most differential experimental designs irrespective of organism or experimental complexity, via three workflows; reports; and support for downstream user modification of plots via user-friendly R-scripts and a Shiny app. We show that Searchlight offers greater automation than current best tools (VIPER and BioJupies). We demonstrate in a timed re-analysis study, that alongside a standard bulk RNA-seq processing pipeline, Searchlight can be used to complete bulk RNA-seq projects up to the point of manuscript quality figures, in under 3 h.

conclusionsCompared to a manual R based analysis or current best freely available pipelines (VIPER and BioJupies), Searchlight can reduce the time and effort needed to complete bulk RNA-seq projects to manuscript level. Searchlight is suitable for bioinformaticians, service providers and bench scientists. https://github.com/Searchlight2/Searchlight2 .

Indexed as

PublicationsSoftwareExome SequencingRNA-SeqWorkflowAutomationBulkDataExplorationMiningPipelineRNA-seqSignaturesTranscriptomicsVisualisation

Identifiers

PMID34412594
PMCPMC8375142

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.