Evidence map›Paper›PMID 32508979›Full record

ArticleAlgorithms for molecular biology : AMB2020

Evolution through segmental duplications and losses: a Super-Reconciliation approach.

Mattéo Delabre, Nadia El-Mabrouk, Katharina T Huber, Manuel Lafond, Vincent Moulton, Emmanuel Noutahi, Miguel Sautie Castellanos

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Predicting horizontal gene transfers with perfect transfer networks.Algorithms for molecular biology : AMB · 2024
    Article
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  6. Article
  7. 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

7 authors.

Mattéo DelabreDépartement d'informatique (DIRO), Université de Montréal, Québec, Canada.
Nadia El-MabroukDépartement d'informatique (DIRO), Université de Montréal, Québec, Canada.
Katharina T HuberSchool of Computing Sciences, University of East Anglia, Norwich, UK.
Manuel LafondDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, Canada.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich, UK.
Emmanuel NoutahiDépartement d'informatique (DIRO), Université de Montréal, Québec, Canada.
Miguel Sautie CastellanosDépartement d'informatique (DIRO), Université de Montréal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The classical gene and species tree reconciliation, used to infer the history of gene gain and loss explaining the evolution of gene families, assumes an independent evolution for each family. While this assumption is reasonable for genes that are far apart in the genome, it is not appropriate for genes grouped into syntenic blocks, which are more plausibly the result of a concerted evolution. Here, we introduce the

Indexed as

DuplicationGene treeLossReconciliationSynteny

Identifiers

PMID32508979
PMCPMC7249433

What OpenQuestion holds

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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.