Evidence map›Paper›PMID 41160131›Full record

ArticleJournal of molecular evolution2025

Profylo: A Python Package for Phylogenetic Profile Comparison and Analysis.

Martin Schoenstein, Pauline Mermillod, Arnaud Kress, Odile Lecompte, Yannis Nevers

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Perspectives on Orthology During the Quest for Orthologs.Journal of molecular evolution · 2025
    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

5 authors.

Martin SchoensteinComplex Systems and Translational Bioinformatics (CSTB), Department of Computer Science, UMR7357 ICube, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France. martin.schoenstein@etu.unistra.fr.
Pauline MermillodComplex Systems and Translational Bioinformatics (CSTB), Department of Computer Science, UMR7357 ICube, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France.
Arnaud KressComplex Systems and Translational Bioinformatics (CSTB), Department of Computer Science, UMR7357 ICube, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France.
Odile LecompteComplex Systems and Translational Bioinformatics (CSTB), Department of Computer Science, UMR7357 ICube, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France.
Yannis NeversComplex Systems and Translational Bioinformatics (CSTB), Department of Computer Science, UMR7357 ICube, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France. ynevers@unistra.fr.ORCID 0000-0002-8604-2943

Funding

Agence Nationale de la Recherche ANR-24-CPJ1-0082-01
6 · The paper itself

Abstract

Phylogenetic profiling, involving the analysis of presence-absence of orthologs in a set of species, is a way to infer functional association between genes through co-evolutionary patterns. Since its inception, numerous methods have been described to construct phylogenetic profiles, evaluate their similarity, or identify clusters of co-evolving genes. However, few of these methods are available as downloadable software. We present Profylo, a phylogenetic profiling toolkit made available as an open-source Python 3.0 package. Profylo implements seven methods for comparing phylogenetic profiling, four algorithms for identification of co-evolving clusters, as well as tools to help with their analysis, including visualization features. We take advantage of the variety of methods implemented in Profylo to benchmark their ability to predict functional relationships between human genes, using different datasets. Finally, we demonstrate the utility of the package with an example case study of the presence-absence of all protein-coding genes in the human genome. Profylo is available on GitHub at https://github.com/MartinSchoenstein/Profylo .

Indexed as

Computational BiologyPhylogenySoftwareAlgorithmsEvolution, MolecularGenome, HumanHumansCoevolutionComparative genomicsPhylogenetic profilingPython package

Identifiers

PMID41160131
PMCPMC12756282

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.