Evidence map›Paper›PMID 41231865›Full record

ArticlePLoS computational biology2025

Building a continuous benchmarking ecosystem in bioinformatics.

Izaskun Mallona, Charlotte Soneson, Ben Carrillo, Almut Lütge, Daniel Incicau, Reto Gerber, Anthony Sonrel, Mark D Robinson

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Izaskun MallonaDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-2853-7526
Charlotte SonesonSIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-3833-2169
Ben CarrilloDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0009-0003-5704-4151
Almut LütgeDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Daniel IncicauDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Reto GerberDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-5414-8906
Anthony SonrelDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Mark D RobinsonDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3048-5518

Funding

Novartis Research FoundationSwiss National Science Foundation
6 · The paper itself

Abstract

Benchmarking, which involves collecting reference datasets and demonstrating method performance, is a requirement for the development of new computational tools, but also becomes a domain of its own to achieve neutral comparisons of methods. Although a lot has been written about how to design and conduct benchmark studies, this Perspective sheds light on a wish list for a computational platform to orchestrate benchmark studies. We discuss various ideas for organizing reproducible software environments, formally defining benchmarks, orchestrating standardized workflows, and how they interface with computing infrastructure.

Indexed as

BenchmarkingComputational BiologyHumansSoftware

Identifiers

PMID41231865
PMCPMC12614554

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.