Evidence map›Paper›PMID 33932975›Full record

ArticleBMC bioinformatics2021

Root Digger: a root placement program for phylogenetic trees.

Ben Bettisworth, Alexandros Stamatakis

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  7. Incongruence in the phylogenomics era.Nature reviews. Genetics · 2023
    Review
  8. Biodegradation of Inosine and Guanosine byInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Phylogenomic Testing of Root Hypotheses.Genome biology and evolution · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Orthology Clusters from Gene Trees with Possvm.Molecular biology and evolution · 2021
    Article
  16. Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult.Molecular biology and evolution · 2021
    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.

Ben BettisworthComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany. ben.bettisworth@h-its.org.ORCID http://orcid.org/0000-0002-9130-6878
Alexandros StamatakisComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.

Funding

Horizon 2020 764840
6 · The paper itself

Abstract

backgroundIn phylogenetic analysis, it is common to infer unrooted trees. However, knowing the root location is desirable for downstream analyses and interpretation. There exist several methods to recover a root, such as molecular clock analysis (including midpoint rooting) or rooting the tree using an outgroup. Non-reversible Markov models can also be used to compute the likelihood of a potential root position.

resultsWe present a software called RootDigger which uses a non-reversible Markov model to compute the most likely root location on a given tree and to infer a confidence value for each possible root placement. We find that RootDigger is successful at finding roots when compared to similar tools such as IQ-TREE and MAD, and will occasionally outperform them. Additionally, we find that the exhaustive mode of RootDigger is useful in quantifying and explaining uncertainty in rooting positions.

conclusionsRootDigger can be used on an existing phylogeny to find a root, or to asses the uncertainty of the root placement. RootDigger is available under the MIT licence at https://www.github.com/computations/root_digger .

Indexed as

Evolution, MolecularSoftwareModels, GeneticPhylogenyProbabilityUncertaintyMaximum likelihoodPhylogenetic analysisPhylogenetic rooting

Identifiers

PMID33932975
PMCPMC8088003

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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.