Evidence map›Paper›PMID 33322033›Full record

ArticleGenes2020

RNAflow: An Effective and Simple RNA-Seq Differential Gene Expression Pipeline Using Nextflow.

Marie Lataretu, Martin Hölzer

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Transcriptional Reprogramming ofInternational journal of molecular sciences · 2026
    Article
  2. Article
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  4. Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025
    Review
  5. Article
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  7. Article
  8. Oncotarget · 2025
    Article
  9. Delayed atorvastatin delivery promotes recovery after experimental spinal cord injury.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  10. Article
  11. Deciphering the proteome ofComputational and structural biotechnology journal · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

2 authors.

Marie LataretuRNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Leutragraben 1, 07743 Jena, Germany.ORCID 0000-0002-3637-5870
Martin HölzerMethodology and Research Infrastructure, MF1 Bioinformatics, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.ORCID 0000-0001-7090-8717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-Seq enables the identification and quantification of RNA molecules, often with the aim of detecting differentially expressed genes (DEGs). Although RNA-Seq evolved into a standard technique, there is no universal gold standard for these data's computational analysis. On top of that, previous studies proved the irreproducibility of RNA-Seq studies. Here, we present a portable, scalable, and parallelizable Nextflow RNA-Seq pipeline to detect DEGs, which assures a high level of reproducibility. The pipeline automatically takes care of common pitfalls, such as ribosomal RNA removal and low abundance gene filtering. Apart from various visualizations for the DEG results, we incorporated downstream pathway analysis for common species as

Indexed as

RNA-SeqAnimalsHumansMiceReverse Transcriptase Polymerase Chain Reactiondifferential gene expression analysisNextflow pipelineRNA-Seqworkflow

Identifiers

PMID33322033
PMCPMC7763471

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.