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ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process

BACKGROUND: Current alignment tools typically lack an explicit model of indel evolution, leading to artificially short inferred alignments (i.e., over-alignment) due to inconsistencies between the indel history and the phylogeny relating the input sequences. RESULTS: We present a new progressive mul...

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Autores principales: Maiolo, Massimo, Gatti, Lorenzo, Frei, Diego, Leidi, Tiziano, Gil, Manuel, Anisimova, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543915/
https://www.ncbi.nlm.nih.gov/pubmed/34689750
http://dx.doi.org/10.1186/s12859-021-04442-8
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author Maiolo, Massimo
Gatti, Lorenzo
Frei, Diego
Leidi, Tiziano
Gil, Manuel
Anisimova, Maria
author_facet Maiolo, Massimo
Gatti, Lorenzo
Frei, Diego
Leidi, Tiziano
Gil, Manuel
Anisimova, Maria
author_sort Maiolo, Massimo
collection PubMed
description BACKGROUND: Current alignment tools typically lack an explicit model of indel evolution, leading to artificially short inferred alignments (i.e., over-alignment) due to inconsistencies between the indel history and the phylogeny relating the input sequences. RESULTS: We present a new progressive multiple sequence alignment tool ProPIP. The process of insertions and deletions is described using an explicit evolutionary model—the Poisson Indel Process or PIP. The method is based on dynamic programming and is implemented in a frequentist framework. The source code can be compiled on Linux, macOS and Microsoft Windows platforms. The algorithm is implemented in C++ as standalone program. The source code is freely available on GitHub at https://github.com/acg-team/ProPIP and is distributed under the terms of the GNU GPL v3 license. CONCLUSIONS: The use of an explicit indel evolution model allows to avoid over-alignment, to infer gaps in a phylogenetically consistent way and to make inferences about the rates of insertions and deletions. Instead of the arbitrary gap penalties, the parameters used by ProPIP are the insertion and deletion rates, which have biological interpretation and are contextualized in a probabilistic environment. As a result, indel rate settings may be optimised in order to infer phylogenetically meaningful gap patterns.
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spelling pubmed-85439152021-10-25 ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process Maiolo, Massimo Gatti, Lorenzo Frei, Diego Leidi, Tiziano Gil, Manuel Anisimova, Maria BMC Bioinformatics Software BACKGROUND: Current alignment tools typically lack an explicit model of indel evolution, leading to artificially short inferred alignments (i.e., over-alignment) due to inconsistencies between the indel history and the phylogeny relating the input sequences. RESULTS: We present a new progressive multiple sequence alignment tool ProPIP. The process of insertions and deletions is described using an explicit evolutionary model—the Poisson Indel Process or PIP. The method is based on dynamic programming and is implemented in a frequentist framework. The source code can be compiled on Linux, macOS and Microsoft Windows platforms. The algorithm is implemented in C++ as standalone program. The source code is freely available on GitHub at https://github.com/acg-team/ProPIP and is distributed under the terms of the GNU GPL v3 license. CONCLUSIONS: The use of an explicit indel evolution model allows to avoid over-alignment, to infer gaps in a phylogenetically consistent way and to make inferences about the rates of insertions and deletions. Instead of the arbitrary gap penalties, the parameters used by ProPIP are the insertion and deletion rates, which have biological interpretation and are contextualized in a probabilistic environment. As a result, indel rate settings may be optimised in order to infer phylogenetically meaningful gap patterns. BioMed Central 2021-10-24 /pmc/articles/PMC8543915/ /pubmed/34689750 http://dx.doi.org/10.1186/s12859-021-04442-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Maiolo, Massimo
Gatti, Lorenzo
Frei, Diego
Leidi, Tiziano
Gil, Manuel
Anisimova, Maria
ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title_full ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title_fullStr ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title_full_unstemmed ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title_short ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
title_sort propip: a tool for progressive multiple sequence alignment with poisson indel process
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543915/
https://www.ncbi.nlm.nih.gov/pubmed/34689750
http://dx.doi.org/10.1186/s12859-021-04442-8
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