Evidence map›Paper›PMID 29762653›Full record

ArticleBioinformatics (Oxford, England)2018

RecPhyloXML: a format for reconciled gene trees.

Wandrille Duchemin, Guillaume Gence, Anne-Muriel Arigon Chifolleau, Lars Arvestad, Mukul S Bansal, Vincent Berry, Bastien Boussau, François Chevenet, Nicolas Comte, Adrián A Davín and 11 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  9. Phylogenetic reconciliation.PLoS computational biology · 2022
    Article
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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

21 authors.

Wandrille DucheminUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.
Guillaume GenceUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.
Anne-Muriel Arigon ChifolleauLIRMM, Université de Montpellier, CNRS, Montpellier, France.
Lars ArvestadDepartment of Mathematics, Stockholm University, Stockholm, Sweden.
Mukul S BansalDepartment of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
Vincent BerryLIRMM, Université de Montpellier, CNRS, Montpellier, France.
Bastien BoussauUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.
François ChevenetLIRMM, Université de Montpellier, CNRS, Montpellier, France.
Nicolas ComteINRIA Grenoble Rhône-Alpes, F-38334 Montbonnot, France.
Adrián A DavínUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.
Christophe DessimozDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
David DylusDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Damir HasicDepartment of Mathematics, Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Diego MalloVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Rémi PlanelLaboratoire d'Analyse Bio-informatique en Génomique et Métabolisme CNRS-UMR 8030, Commissariat à l'Énergie Atomique (CEA), Institut de Génomique, Genoscope, Evry, France.
David PosadaDepartment of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.
Celine ScornavaccaInstitut de Biologie Computationnelle (IBC), Montpellier, France.
Gergely SzöllosiMTA-ELTE Lendület Evolutionary Genomics Research Group, Budapest, Hungary.
Louxin ZhangDepartment of Mathematics, National University of Singapore, Singapore, Singapore.
Éric TannierUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.
Vincent DaubinUniv Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: A reconciliation is an annotation of the nodes of a gene tree with evolutionary events-for example, speciation, gene duplication, transfer, loss, etc.-along with a mapping onto a species tree. Many algorithms and software produce or use reconciliations but often using different reconciliation formats, regarding the type of events considered or whether the species tree is dated or not. This complicates the comparison and communication between different programs. Results: Here, we gather a consortium of software developers in gene tree species tree reconciliation to propose and endorse a format that aims to promote an integrative-albeit flexible-specification of phylogenetic reconciliations. This format, named recPhyloXML, is accompanied by several tools such as a reconciled tree visualizer and conversion utilities. Availability and implementation: http://phylariane.univ-lyon1.fr/recphyloxml/.

Indexed as

Evolution, MolecularGene DuplicationAlgorithmsPhylogenySoftware

Identifiers

PMID29762653
PMCPMC6198865

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.