Evidence map›Paper›PMID 39123217›Full record

ReviewGenome biology2024

Genomic reproducibility in the bioinformatics era.

Pelin Icer Baykal, Paweł Piotr Łabaj, Florian Markowetz, Lynn M Schriml, Daniel J Stekhoven, Serghei Mangul, Niko Beerenwinkel

Abstract readReview
In one paragraph

Review in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Role ofInternational journal of molecular sciences · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Detection of the ST111 Global High-RiskCurrent issues in molecular biology · 2025
    Article
  17. Review
  18. Review
  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.

Pelin Icer BaykalDepartment of Biosystems Science and Engineering, ETH Zurich, 4058, Basel, Switzerland.ORCID 0000-0002-9542-5292
Paweł Piotr ŁabajMałopolska Centre of Biotechnology, Jagiellonian University, 30-387, Gronostajowa 7A, Krakow, Poland.ORCID 0000-0002-4994-0234
Florian MarkowetzCancer Research UK Cambridge Research Institute, Cambridge, CB2 0RE, UK.ORCID 0000-0002-2784-5308
Lynn M SchrimlInstitute for Genome Sciences, University of Maryland School of Medicine, HSFIII, 670 W. Baltimore St, Baltimore, MD, 21201, USA.ORCID 0000-0001-8910-9851
Daniel J StekhovenSIB Swiss Institute of Bioinformatics, 4058, Basel, Switzerland.ORCID 0000-0003-3163-3161
Serghei Mangul *Titus Family Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1540 Alcazar Street, Los Angeles, CA, 90033, USA. serghei.mangul@gmail.com.ORCID 0000-0003-4770-3443
Niko Beerenwinkel *Department of Biosystems Science and Engineering, ETH Zurich, 4058, Basel, Switzerland. niko.beerenwinkel@bsse.ethz.ch.ORCID 0000-0002-0573-6119

Funding

The Human Disease Ontology: An integrated, mechanistic knowledge resource for biomedical research.U24HG012557 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI Lynn Marie Schriml · 2022 to 2026
$3.7M
Developing robust and scalable genomics tools and databases to analyze immune receptor repertoires across diverse populationsR01AI173172 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALACHKAR, HOUDA · 2023 to 2025
$2.5M
National Science Foundation 2041984National Science Foundation 2316223NHGRI NIH HHS U24 HG012557NIAID NIH HHS R01 AI173172NIH HHS R01AI173172
6 · The paper itself

Abstract

In biomedical research, validating a scientific discovery hinges on the reproducibility of its experimental results. However, in genomics, the definition and implementation of reproducibility remain imprecise. We argue that genomic reproducibility, defined as the ability of bioinformatics tools to maintain consistent results across technical replicates, is essential for advancing scientific knowledge and medical applications. Initially, we examine different interpretations of reproducibility in genomics to clarify terms. Subsequently, we discuss the impact of bioinformatics tools on genomic reproducibility and explore methods for evaluating these tools regarding their effectiveness in ensuring genomic reproducibility. Finally, we recommend best practices to improve genomic reproducibility.

Indexed as

Computational BiologyGenomicsHumansReproducibility of Resultsbioinformatics toolsgenomicsReproducibilitysynthetic replicatestechnical replicates

Identifiers

PMID39123217
PMCPMC11312195

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.