Bioinformatics Advance Access originally published online on November 4, 2008
Bioinformatics 2009 25(1):126-127; doi:10.1093/bioinformatics/btn575
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TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops
1Scottish Crop Research Institute, 2Biomathematics and Statistics Scotland (BioSS), SCRI, Invergowrie, Dundee DD2 5DA and 3Biomathematics and Statistics Scotland (BioSS), JCMB, The King's Buildings, Edinburgh EH9 3JZ, UK
*To whom correspondence should be addressed.
| Abstract |
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Summary: TOPALi v2 simplifies and automates the use of several methods for the evolutionary analysis of multiple sequence alignments. Jobs are submitted from a Java graphical user interface as TOPALi web services to either run remotely on high-performance computing clusters or locally (with multiple cores supported). Methods available include model selection and phylogenetic tree estimation using the Bayesian inference and maximum likelihood (ML) approaches, in addition to recombination detection methods. The optimal substitution model can be selected for protein or nucleic acid (standard, or protein-coding using a codon position model) data using accurate statistical criteria derived from ML co-estimation of the tree and the substitution model. Phylogenetic software available includes PhyML, RAxML and MrBayes.
Availability: Freely downloadable from http://www.topali.org for Windows, Mac OS X, Linux and Solaris.
Contact: iain.milne{at}scri.ac.uk
Associate Editor: Martin Bishop
Received on August 2, 2008; revised on November 3, 2008; accepted on November 3, 2008
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