Evidence map›Paper›PMID 37879113›Full record

ArticleMolecular biology and evolution2023

PhylteR: Efficient Identification of Outlier Sequences in Phylogenomic Datasets.

Aurore Comte, Théo Tricou, Eric Tannier, Julien Joseph, Aurélie Siberchicot, Simon Penel, Rémi Allio, Frédéric Delsuc, Stéphane Dray, Damien M de Vienne

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  7. MagnetotacticISME communications · 2026
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  11. Paleobiome dynamics shaped a large Gondwanan plant radiation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  19. Principal Component Analysis in Space Forms.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2024
    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

10 authors.

Aurore ComteFrench Institute of Bioinformatics (IFB)-South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, Montpellier, France.
Théo TricouUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
Eric TannierUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
Julien JosephUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
Aurélie SiberchicotUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
Simon PenelUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.ORCID 0000-0003-1550-5477
Rémi AllioCBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ. Montpellier, Montpellier, France.ORCID 0000-0003-3885-5410
Frédéric DelsucISEM, Univ. Montpellier, CNRS, IRD, Montpellier, France.ORCID 0000-0002-6501-6287
Stéphane DrayUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
Damien M de VienneUniversité de Lyon, Université Lyon 1, UMR CNRS 5558 Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.ORCID 0000-0001-9532-5251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In phylogenomics, incongruences between gene trees, resulting from both artifactual and biological reasons, can decrease the signal-to-noise ratio and complicate species tree inference. The amount of data handled today in classical phylogenomic analyses precludes manual error detection and removal. However, a simple and efficient way to automate the identification of outliers from a collection of gene trees is still missing. Here, we present PhylteR, a method that allows rapid and accurate detection of outlier sequences in phylogenomic datasets, i.e. species from individual gene trees that do not follow the general trend. PhylteR relies on DISTATIS, an extension of multidimensional scaling to 3 dimensions to compare multiple distance matrices at once. In PhylteR, these distance matrices extracted from individual gene phylogenies represent evolutionary distances between species according to each gene. On simulated datasets, we show that PhylteR identifies outliers with more sensitivity and precision than a comparable existing method. We also show that PhylteR is not sensitive to ILS-induced incongruences, which is a desirable feature. On a biological dataset of 14,463 genes for 53 species previously assembled for Carnivora phylogenomics, we show (i) that PhylteR identifies as outliers sequences that can be considered as such by other means, and (ii) that the removal of these sequences improves the concordance between the gene trees and the species tree. Thanks to the generation of numerous graphical outputs, PhylteR also allows for the rapid and easy visual characterization of the dataset at hand, thus aiding in the precise identification of errors. PhylteR is distributed as an R package on CRAN and as containerized versions (docker and singularity).

Indexed as

Biological EvolutionPhylogenyduplicationgene treeHGTILSoutliersphylogenomicsspecies treesupermatrixsupertree

Identifiers

PMID37879113
PMCPMC10655845

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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.