<monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees

<p>Abstract</p> <p>Background</p> <p>A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from...

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Main Authors: Kedzierska Anna M, Casanellas Marta
Format: Article
Language:English
Published: BMC 2012-08-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/13/216
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spelling doaj-045033c3cf914860b2445c6f567ddeed2020-11-24T21:18:37ZengBMCBMC Bioinformatics1471-21052012-08-0113121610.1186/1471-2105-13-216<monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic treesKedzierska Anna MCasanellas Marta<p>Abstract</p> <p>Background</p> <p>A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts to the time-reversible models and it is not optimized to generate nonhomogeneous data (i.e. placing distinct substitution rates at different lineages).</p> <p>Results</p> <p>We present the first package designed to generate MSAs evolving under discrete-time Markov processes on phylogenetic trees, directly from probability substitution matrices. Based on the input model and a phylogenetic tree in the Newick format (with branch lengths measured as the expected number of substitutions per site), the algorithm produces DNA alignments of desired length. <monospace>GenNon-h</monospace> is publicly available for download.</p> <p>Conclusion</p> <p>The software presented here is an efficient tool to generate DNA MSAs on a given phylogenetic tree. <monospace>GenNon-h</monospace> provides the user with the nonstationary or nonhomogeneous phylogenetic data that is well suited for testing complex biological hypotheses, exploring the limits of the reconstruction algorithms and their robustness to such models.</p> http://www.biomedcentral.com/1471-2105/13/216
collection DOAJ
language English
format Article
sources DOAJ
author Kedzierska Anna M
Casanellas Marta
spellingShingle Kedzierska Anna M
Casanellas Marta
<monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
BMC Bioinformatics
author_facet Kedzierska Anna M
Casanellas Marta
author_sort Kedzierska Anna M
title <monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
title_short <monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
title_full <monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
title_fullStr <monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
title_full_unstemmed <monospace>GenNon-h</monospace>: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees
title_sort <monospace>gennon-h</monospace>: generating multiple sequence alignments on nonhomogeneous phylogenetic trees
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2012-08-01
description <p>Abstract</p> <p>Background</p> <p>A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts to the time-reversible models and it is not optimized to generate nonhomogeneous data (i.e. placing distinct substitution rates at different lineages).</p> <p>Results</p> <p>We present the first package designed to generate MSAs evolving under discrete-time Markov processes on phylogenetic trees, directly from probability substitution matrices. Based on the input model and a phylogenetic tree in the Newick format (with branch lengths measured as the expected number of substitutions per site), the algorithm produces DNA alignments of desired length. <monospace>GenNon-h</monospace> is publicly available for download.</p> <p>Conclusion</p> <p>The software presented here is an efficient tool to generate DNA MSAs on a given phylogenetic tree. <monospace>GenNon-h</monospace> provides the user with the nonstationary or nonhomogeneous phylogenetic data that is well suited for testing complex biological hypotheses, exploring the limits of the reconstruction algorithms and their robustness to such models.</p>
url http://www.biomedcentral.com/1471-2105/13/216
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AT casanellasmarta monospacegennonhmonospacegeneratingmultiplesequencealignmentsonnonhomogeneousphylogenetictrees
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