Evidence map›Paper›PMID 34329294›Full record

ArticlePLoS computational biology2021

Gene name errors: Lessons not learned.

Mandhri Abeysooriya, Megan Soria, Mary Sravya Kasu, Mark Ziemann

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Reproducible Data Analysis With R in Laboratory Hematology.International journal of laboratory hematology · 2026
    Review
  2. Article
  3. Relational Databases for Behavior Science.Perspectives on behavior science · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Metadata integrity in bioinformatics: Bridging the gap between data and knowledge.Computational and structural biotechnology journal · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mandhri AbeysooriyaDeakin University, School of Life and Environmental Sciences, Geelong, Australia.ORCID 0000-0003-2163-6203
Megan SoriaDeakin University, School of Life and Environmental Sciences, Geelong, Australia.ORCID 0000-0002-8715-6854
Mary Sravya KasuDeakin University, School of Life and Environmental Sciences, Geelong, Australia.ORCID 0000-0002-7891-836X
Mark ZiemannDeakin University, School of Life and Environmental Sciences, Geelong, Australia.ORCID 0000-0002-7688-6974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erroneous conversion of gene names into other dates and other data types has been a frustration for computational biologists for years. We hypothesized that such errors in supplementary files might diminish after a report in 2016 highlighting the extent of the problem. To assess this, we performed a scan of supplementary files published in PubMed Central from 2014 to 2020. Overall, gene name errors continued to accumulate unabated in the period after 2016. An improved scanning software we developed identified gene name errors in 30.9% (3,436/11,117) of articles with supplementary Excel gene lists; a figure significantly higher than previously estimated. This is due to gene names being converted not just to dates and floating-point numbers, but also to internal date format (five-digit numbers). These findings further reinforce that spreadsheets are ill-suited to use with large genomic data.

Indexed as

Computational BiologyGenesHumansMolecular Sequence AnnotationPubMedSoftwareTerminology as Topic

Identifiers

PMID34329294
PMCPMC8357140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.