Evidence map›Paper›PMID 34751377›Full record

ArticleGenome biology and evolution2021

Assessing Rapid Relaxed-Clock Methods for Phylogenomic Dating.

Jose Barba-Montoya, Qiqing Tao, Sudhir Kumar

Abstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Challenges in Assembling the Dated Tree of Life.Genome biology and evolution · 2024
    Article
  4. Review
  5. Speciation across the Earth driven by global cooling in terrestrial orchids.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. 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.

Jose Barba-MontoyaInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-1337-8139
Qiqing TaoInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7360-409X
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-9918-8212

Funding

Methods For Evolutionary Genomics AnalysisR35GM139540 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Sudhir Kumar · 2021 to 2026
$2.9M
Inferring molecular evolutionary rates and divergence datesR01GM126567 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2018 to 2020
$951k
NIGMS NIH HHS R01 GM126567NIGMS NIH HHS R35 GM139540
6 · The paper itself

Abstract

Rapid relaxed-clock dating methods are frequently applied to analyze phylogenomic data sets containing hundreds to thousands of sequences because of their accuracy and computational efficiency. However, the relative performance of different rapid dating methods is yet to be compared on the same data sets, and, thus, the power and pitfalls of selecting among these approaches remain unclear. We compared the accuracy, bias, and coverage probabilities of RelTime, treePL, and least-squares dating time estimates by applying them to analyze computer-simulated data sets in which evolutionary rates varied extensively among branches in the phylogeny. RelTime estimates were consistently more accurate than the other two, particularly when evolutionary rates were autocorrelated or shifted convergently among lineages. The 95% confidence intervals (CIs) around RelTime dates showed appropriate coverage probabilities (95% on average), but other methods produced rather low coverage probabilities because of overly narrow CIs of time estimates. Overall, RelTime appears to be a more efficient method for estimating divergence times for large phylogenies.

Indexed as

Evolution, MolecularModels, GeneticBayes TheoremBiological EvolutionComputer SimulationPhylogenyleast-squarespenalized likelihoodphylogenomicsrelative rate frameworkrelaxed molecular clock dating

Identifiers

PMID34751377
PMCPMC8633771

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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.