Literature DB >> 16679334

BAli-Phy: simultaneous Bayesian inference of alignment and phylogeny.

Marc A Suchard1, Benjamin D Redelings.   

Abstract

SUMMARY: BAli-Phy is a Bayesian posterior sampler that employs Markov chain Monte Carlo to explore the joint space of alignment and phylogeny given molecular sequence data. Simultaneous estimation eliminates bias toward inaccurate alignment guide-trees, employs more sophisticated substitution models during alignment and automatically utilizes information in shared insertion/deletions to help infer phylogenies. AVAILABILITY: Software is available for download at http://www.biomath.ucla.edu/msuchard/bali-phy.

Mesh:

Year:  2006        PMID: 16679334     DOI: 10.1093/bioinformatics/btl175

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


  91 in total

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Journal:  Protein Sci       Date:  2012-04-23       Impact factor: 6.725

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Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

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Authors:  Andrew D Fernandes; William R Atchley
Journal:  Bioinformatics       Date:  2008-07-28       Impact factor: 6.937

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5.  Improving phylogenetic analyses by incorporating additional information from genetic sequence databases.

Authors:  Li-Jung Liang; Robert E Weiss; Benjamin Redelings; Marc A Suchard
Journal:  Bioinformatics       Date:  2009-08-06       Impact factor: 6.937

6.  Effective Online Bayesian Phylogenetics via Sequential Monte Carlo with Guided Proposals.

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7.  Large-scale multiple sequence alignment and tree estimation using SATé.

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8.  High sensitivity to aligner and high rate of false positives in the estimates of positive selection in the 12 Drosophila genomes.

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Journal:  Genome Res       Date:  2011-03-10       Impact factor: 9.043

9.  Multiple Sequence Alignment for Large Heterogeneous Datasets Using SATé, PASTA, and UPP.

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Journal:  Methods Mol Biol       Date:  2021

10.  Multiple evolution of flavonoid 3',5'-hydroxylase.

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Journal:  Planta       Date:  2015-04-28       Impact factor: 4.116

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