Evidence map›Paper›PMID 32609371›Full record

ArticleBioinformatics (Oxford, England)2020

PRANC: ML species tree estimation from the ranked gene trees under coalescence.

Anastasiia Kim, James H Degnan

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Likelihood-Based Tests of Species Tree Hypotheses.Molecular biology and evolution · 2023
    Article
  2. Article
  3. 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

2 authors.

Anastasiia KimDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87106, USA.
James H DegnanDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87106, USA.

Funding

Mathematical and computational analysis for species tree inferenceR01GM117590 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI RHODES, JOHN · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM117590
6 · The paper itself

Abstract

summaryPRANC computes the Probabilities of RANked gene tree topologies under the multispecies coalescent. A ranked gene tree is a gene tree accounting for the temporal ordering of internal nodes. PRANC can also estimate the maximum likelihood (ML) species tree from a sample of ranked or unranked gene tree topologies. It estimates the ML tree with estimated branch lengths in coalescent units. AVAILABILITY AND IMPLEMENTATION: PRANC is written in C++ and freely available at github.com/anastasiiakim/PRANC. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Models, GeneticLikelihood FunctionsPhylogeny

Identifiers

PMID32609371
PMCPMC7750968

What OpenQuestion holds

Textmetadata
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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.