Evidence map›Paper›PMID 19812727›Full record

ArticleEvolutionary bioinformatics online2009

A mixture model and a hidden markov model to simultaneously detect recombination breakpoints and reconstruct phylogenies.

Bastien Boussau, Laurent Guéguen, Manolo Gouy

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Biosynthetic origin of anticancer dolastatin 15 reveals a noncanonical NRPS architecture enabling 2-keto acid activation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Recombination and phylogenetic inference.Evolutionary journal of the Linnean Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Inferring Local Genealogies on Closely Related Genomes.Comparative genomics : RECOMB ... International Workshop, RCG ... : revised selected papers. RECOMB-CG (Conference) · 2017
    Article
  10. Review
  11. Article
  12. Article
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  15. 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

3 authors.

Bastien BoussauUniversité de Lyon, université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, 43 boulevard du 11 novembre 1918, Villeurbanne F-69622, France. boussau@biomserv.univ-lyon1.fr
Laurent Guéguen
Manolo Gouy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homologous recombination is a pervasive biological process that affects sequences in all living organisms and viruses. In the presence of recombination, the evolutionary history of an alignment of homologous sequences cannot be properly depicted by a single bifurcating tree: some sites have evolved along a specific phylogenetic tree, others have followed another path. Methods available to analyse recombination in sequences usually involve an analysis of the alignment through sliding-windows, or are particularly demanding in computational resources, and are often limited to nucleotide sequences. In this article, we propose and implement a Mixture Model on trees and a phylogenetic Hidden Markov Model to reveal recombination breakpoints while searching for the various evolutionary histories that are present in an alignment known to have undergone homologous recombination. These models are sufficiently efficient to be applied to dozens of sequences on a single desktop computer, and can handle equivalently nucleotide or protein sequences. We estimate their accuracy on simulated sequences and test them on real data.

Indexed as

maximum likelihoodmolecular phylogenyPhyMLrecombination

Identifiers

PMID19812727
PMCPMC2747125

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.