Evidence map›Paper›PMID 24094331›Full record

ReviewTrends in ecology & evolution2013

Computational approaches to species phylogeny inference and gene tree reconciliation.

Luay Nakhleh

Abstract readReview
In one paragraph

Review in Trends in ecology & evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
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  6. Phylogenetic reconciliation.PLoS computational biology · 2022
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  15. Phylogenetic double placement of mixed samples.Bioinformatics (Oxford, England) · 2020
    Article
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  17. Article
  18. 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

1 author.

Luay NakhlehDepartment of Computer Science, Rice University, Houston, TX 77005, USA; Department of Ecology and Evolutionary Biology, Rice University, Houston, TX 77005, USA. Electronic address: nakhleh@rice.edu.

Funding

Evolutionary Analysis of Bacterial Genomes: High-Throughput Computational ToolsR01LM009494 · NLM · RICE UNIVERSITY · PI NAKHLEH, LUAY · 2008 to 2012
$1.3M
NLM NIH HHS R01 LM009494NLM NIH HHS R01LM009494
6 · The paper itself

Abstract

An intricate relation exists between gene trees and species phylogenies, due to evolutionary processes that act on the genes within and across the branches of the species phylogeny. From an analytical perspective, gene trees serve as character states for inferring accurate species phylogenies, and species phylogenies serve as a backdrop against which gene trees are contrasted for elucidating evolutionary processes and parameters. In a 1997 paper, Maddison discussed this relation, reviewed the signatures left by three major evolutionary processes on the gene trees, and surveyed parsimony and likelihood criteria for utilizing these signatures to elucidate computationally this relation. Here, I review progress that has been made in developing computational methods for analyses under these two criteria, and survey remaining challenges.

Indexed as

PhylogenyAnimalsComputational Biology

Identifiers

PMID24094331
PMCPMC3855310

What OpenQuestion holds

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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.