Evidence map›Paper›PMID 27998934›Full record

ArticleBioinformatics (Oxford, England)2017

Xenolog classification.

Charlotte A Darby, Maureen Stolzer, Patrick J Ropp, Daniel Barker, Dannie Durand

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
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  8. Characterization, Evolution, Expression and Functional Divergence of theInternational journal of molecular sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Theory of Gene Family Histories.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Relative timing information and orthology in evolutionary scenarios.Algorithms for molecular biology : AMB · 2023
    Article
  15. Article
  16. 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

5 authors.

Charlotte A DarbyDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Maureen StolzerDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Patrick J RoppDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Daniel BarkerSchool of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK.
Dannie DurandDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Orthology analysis is a fundamental tool in comparative genomics. Sophisticated methods have been developed to distinguish between orthologs and paralogs and to classify paralogs into subtypes depending on the duplication mechanism and timing, relative to speciation. However, no comparable framework exists for xenologs: gene pairs whose history, since their divergence, includes a horizontal transfer. Further, the diversity of gene pairs that meet this broad definition calls for classification of xenologs with similar properties into subtypes. Results: We present a xenolog classification that uses phylogenetic reconciliation to assign each pair of genes to a class based on the event responsible for their divergence and the historical association between genes and species. Our classes distinguish between genes related through transfer alone and genes related through duplication and transfer. Further, they separate closely-related genes in distantly-related species from distantly-related genes in closely-related species. We present formal rules that assign gene pairs to specific xenolog classes, given a reconciled gene tree with an arbitrary number of duplications and transfers. These xenology classification rules have been implemented in software and tested on a collection of ∼13 000 prokaryotic gene families. In addition, we present a case study demonstrating the connection between xenolog classification and gene function prediction. Availability and Implementation: The xenolog classification rules have been implemented in N otung 2.9, a freely available phylogenetic reconciliation software package. http://www.cs.cmu.edu/~durand/Notung . Gene trees are available at http://dx.doi.org/10.7488/ds/1503 . Contact: durand@cmu.edu. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Genes, BacterialPhylogenySoftwareAlgorithmsBacteriaEvolution, MolecularGenomicsSequence Homology, Nucleic Acid

Identifiers

PMID27998934
PMCPMC5860392

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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.