Evidence map›Paper›PMID 34714118›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2021

The Generalized Robinson-Foulds Distance for Phylogenetic Trees.

Mercè Llabrés, Francesc Rosselló, Gabriel Valiente

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  7. Review
  8. Article
  9. TheJournal of computational biology : a journal of computational molecular cell biology · 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

3 authors.

Mercè LlabrésDepartment of Mathematics and Computer Science, University of the Balearic Islands, Palma de Mallorca, Spain.
Francesc RossellóDepartment of Mathematics and Computer Science, University of the Balearic Islands, Palma de Mallorca, Spain.
Gabriel ValienteDepartment of Computer Science, Technical University of Catalonia, Barcelona, Spain.ORCID 0000-0001-9194-2703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Robinson-Foulds (RF) distance, one of the most widely used metrics for comparing phylogenetic trees, has the advantage of being intuitive, with a natural interpretation in terms of common splits, and it can be computed in linear time, but it has a very low resolution, and it may become trivial for phylogenetic trees with overlapping taxa, that is, phylogenetic trees that share some but not all of their leaf labels. In this article, we study the properties of the Generalized Robinson-Foulds (GRF) distance, a recently proposed metric for comparing any structures that can be described by multisets of multisets of labels, when applied to rooted phylogenetic trees with overlapping taxa, which are described by sets of clusters, that is, by sets of sets of labels. We show that the GRF distance has a very high resolution, it can also be computed in linear time, and it is not (uniformly) equivalent to the RF distance.

Indexed as

AlgorithmsClassificationComputational BiologyModels, GeneticPhylogenymetricsphylogenetic treeRobinson-Foulds distance

Identifiers

PMID34714118
PMCPMC8742253

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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.