Literature DB >> 11473009

Designing fast converging phylogenetic methods.

L Nakhleh1, U Roshan, K St John, J Sun, T Warnow.   

Abstract

Absolute fast converging phylogenetic reconstruction methods are provably guaranteed to recover the true tree with high probability from sequences that grow only polynomially in the number of leaves, once the edge lengths are bounded arbitrarily from above and below. Only a few methods have been determined to be absolute fast converging; these have all been developed in just the last few years, and most are polynomial time. In this paper, we compare pre-existing fast converging methods as well as some new polynomial time methods that we have developed. Our study, based upon simulating evolution under a wide range of model conditions, establishes that our new methods outperform both neighbor joining and the previous fast converging methods, returning very accurate large trees, when these other methods do poorly.

Mesh:

Year:  2001        PMID: 11473009     DOI: 10.1093/bioinformatics/17.suppl_1.s190

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

1.  DISCO: Species Tree Inference using Multicopy Gene Family Tree Decomposition.

Authors:  James Willson; Mrinmoy Saha Roddur; Baqiao Liu; Paul Zaharias; Tandy Warnow
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

2.  Standard maximum likelihood analyses of alignments with gaps can be statistically inconsistent.

Authors:  Tandy Warnow
Journal:  PLoS Curr       Date:  2012-03-09

3.  DACTAL: divide-and-conquer trees (almost) without alignments.

Authors:  Serita Nelesen; Kevin Liu; Li-San Wang; C Randal Linder; Tandy Warnow
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

4.  Disk covering methods improve phylogenomic analyses.

Authors:  Md Shamsuzzoha Bayzid; Tyler Hunt; Tandy Warnow
Journal:  BMC Genomics       Date:  2014-10-17       Impact factor: 3.969

5.  Machine learning based imputation techniques for estimating phylogenetic trees from incomplete distance matrices.

Authors:  Ananya Bhattacharjee; Md Shamsuzzoha Bayzid
Journal:  BMC Genomics       Date:  2020-07-20       Impact factor: 3.969

6.  Efficient tree searches with available algorithms.

Authors:  Gonzalo Giribet
Journal:  Evol Bioinform Online       Date:  2007-11-12       Impact factor: 1.625

7.  Using tree diversity to compare phylogenetic heuristics.

Authors:  Seung-Jin Sul; Suzanne Matthews; Tiffani L Williams
Journal:  BMC Bioinformatics       Date:  2009-04-29       Impact factor: 3.169

8.  The effect of natural selection on the performance of maximum parsimony.

Authors:  Dehua Hang; Eric Torng; Charles Ofria; Thomas M Schmidt
Journal:  BMC Evol Biol       Date:  2007-06-25       Impact factor: 3.260

9.  ASTRID: Accurate Species TRees from Internode Distances.

Authors:  Pranjal Vachaspati; Tandy Warnow
Journal:  BMC Genomics       Date:  2015-10-02       Impact factor: 3.969

10.  Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy.

Authors:  Qiuyi Zhang; Satish Rao; Tandy Warnow
Journal:  Algorithms Mol Biol       Date:  2019-02-06       Impact factor: 1.405

  10 in total

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