Evidence map›Paper›PMID 25481006›Full record

ArticleBioinformatics (Oxford, England)2015

Improved gene tree error correction in the presence of horizontal gene transfer.

Mukul S Bansal, Yi-Chieh Wu, Eric J Alm, Manolis Kellis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. virDTL: Viral Recombination Analysis Through Phylogenetic Reconciliation and Its Application to Sarbecoviruses and SARS-CoV-2.Journal of computational biology : a journal of computational molecular cell biology · 2023
    Article
  6. Article
  7. Phylogenetic reconciliation.PLoS computational biology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Non-parametric correction of estimated gene trees using TRACTION.Algorithms for molecular biology : AMB · 2020
    Article
  12. Article
  13. Article
  14. Conserved fungal effector suppresses PAMP-triggered immunity by targeting plant immune kinases.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Phylogenomic analyses and distribution of terpene synthases amongBeilstein journal of organic chemistry · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Mukul S BansalComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA.
Yi-Chieh WuComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA.
Eric J AlmComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA.
Manolis KellisComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge and Broad Institute, Cambridge, MA, USA.

Funding

A Data Analysis Center for integration of fly and worm modENCODE datasetsRC2HG005639 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2009 to 2011
$4.1M
NHGRI NIH HHS RC2 HG005639
6 · The paper itself

Abstract

motivationThe accurate inference of gene trees is a necessary step in many evolutionary studies. Although the problem of accurate gene tree inference has received considerable attention, most existing methods are only applicable to gene families unaffected by horizontal gene transfer. As a result, the accurate inference of gene trees affected by horizontal gene transfer remains a largely unaddressed problem.

resultsIn this study, we introduce a new and highly effective method for gene tree error correction in the presence of horizontal gene transfer. Our method efficiently models horizontal gene transfers, gene duplications and losses, and uses a statistical hypothesis testing framework [Shimodaira-Hasegawa (SH) test] to balance sequence likelihood with topological information from a known species tree. Using a thorough simulation study, we show that existing phylogenetic methods yield inaccurate gene trees when applied to horizontally transferred gene families and that our method dramatically improves gene tree accuracy. We apply our method to a dataset of 11 cyanobacterial species and demonstrate the large impact of gene tree accuracy on downstream evolutionary analyses. AVAILABILITY AND IMPLEMENTATION: An implementation of our method is available at http://compbio.mit.edu/treefix-dtl/ CONTACT: : mukul@engr.uconn.edu or manoli@mit.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsEvolution, MolecularGene Transfer, HorizontalComputational BiologyCyanobacteriaGene DuplicationMultigene FamilyPhylogeny

Identifiers

PMID25481006
PMCPMC4393519

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LicenceCC BY
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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.