Evidence map›Paper›PMID 27190724›Full record

ArticlePeerJ2016

PhySortR: a fast, flexible tool for sorting phylogenetic trees in R.

Timothy G Stephens, Debashish Bhattacharya, Mark A Ragan, Cheong Xin Chan

Abstract read
In one paragraph

Article in PeerJ, 2016. 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. ImprovedMicroorganisms · 2022
    Article
  2. The evolution of huge Y chromosomes inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Studies in mycology · 2016
    Article
  10. 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

4 authors.

Timothy G StephensARC Centre of Excellence in Bioinformatics, and Institute for Molecular Bioscience, University of Queensland , Brisbane, Queensland , Australia.
Debashish BhattacharyaDepartment of Ecology, Evolution and Natural Resources, Rutgers University , New Brunswick, NJ , USA.
Mark A RaganARC Centre of Excellence in Bioinformatics, and Institute for Molecular Bioscience, University of Queensland , Brisbane, Queensland , Australia.
Cheong Xin ChanARC Centre of Excellence in Bioinformatics, and Institute for Molecular Bioscience, University of Queensland , Brisbane, Queensland , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A frequent bottleneck in interpreting phylogenomic output is the need to screen often thousands of trees for features of interest, particularly robust clades of specific taxa, as evidence of monophyletic relationship and/or reticulated evolution. Here we present PhySortR, a fast, flexible R package for classifying phylogenetic trees. Unlike existing utilities, PhySortR allows for identification of both exclusive and non-exclusive clades uniting the target taxa based on tip labels (i.e., leaves) on a tree, with customisable options to assess clades within the context of the whole tree. Using simulated and empirical datasets, we demonstrate the potential and scalability of PhySortR in analysis of thousands of phylogenetic trees without a priori assumption of tree-rooting, and in yielding readily interpretable trees that unambiguously satisfy the query. PhySortR is a command-line tool that is freely available and easily automatable.

Indexed as

phylogeneticsphylogenetic treesphylogenomics

Identifiers

PMID27190724
PMCPMC4868591

What OpenQuestion holds

Textmetadata
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.