Evidence map›Paper›PMID 33208096›Full record

ArticleBMC genomics2020

A generalized Robinson-Foulds distance for labeled trees.

Samuel Briand, Christophe Dessimoz, Nadia El-Mabrouk, Manuel Lafond, Gabriela Lobinska

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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
1.7field-weighted citation impact, top 16% of its field
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, 35 citations in OpenAlex.

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  8. TheJournal of computational biology : a journal of computational molecular cell biology · 2024
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  14. The Generalized Robinson-Foulds Distance for Phylogenetic Trees.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  15. The Bourque distances for mutation trees of cancers.Algorithms for molecular biology : AMB · 2021
    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 at 4 institutions in 3 countries.

Samuel BriandComputer Science Department, Université de Montréal, Montreal, Canada.
Christophe DessimozDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. c.dessimoz@ucl.ac.uk.
Nadia El-MabroukComputer Science Department, Université de Montréal, Montreal, Canada. mabrouk@iro.umontreal.ca.
Manuel LafondComputer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
Gabriela LobinskaDepartment of Genetics Evolution and Environment, University College London, London, UK.
Université de Montréal · CAUniversité de Sherbrooke · CAUniversity College London · GBUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Robinson-Foulds (RF) distance is a well-established measure between phylogenetic trees. Despite a lack of biological justification, it has the advantages of being a proper metric and being computable in linear time. For phylogenetic applications involving genes, however, a crucial aspect of the trees ignored by the RF metric is the type of the branching event (e.g. speciation, duplication, transfer, etc).

resultsWe extend RF to trees with labeled internal nodes by including a node flip operation, alongside edge contractions and extensions. We explore properties of this extended RF distance in the case of a binary labeling. In particular, we show that contrary to the unlabeled case, an optimal edit path may require contracting "good" edges, i.e. edges shared between the two trees.

conclusionsWe provide a 2-approximation algorithm which is shown to perform well empirically. Looking ahead, computing distances between labeled trees opens up a variety of new algorithmic directions.Implementation and simulations available at https://github.com/DessimozLab/pylabeledrf .

Indexed as

AlgorithmsPhylogenyEdit distanceLabeled treesRobinson-FouldsTree metric

Identifiers

PMID33208096
PMCPMC7677779
OpenAlexW3104455460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.