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EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers

We present EvalMSA, a software tool for evaluating and detecting outliers in multiple sequence alignments (MSAs). This tool allows the identification of divergent sequences in MSAs by scoring the contribution of each row in the alignment to its quality using a sum-of-pair-based method and additional...

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Detalles Bibliográficos
Autores principales: Chiner-Oms, Alvaro, González-Candelas, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127606/
https://www.ncbi.nlm.nih.gov/pubmed/27920488
http://dx.doi.org/10.4137/EBO.S40583
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author Chiner-Oms, Alvaro
González-Candelas, Fernando
author_facet Chiner-Oms, Alvaro
González-Candelas, Fernando
author_sort Chiner-Oms, Alvaro
collection PubMed
description We present EvalMSA, a software tool for evaluating and detecting outliers in multiple sequence alignments (MSAs). This tool allows the identification of divergent sequences in MSAs by scoring the contribution of each row in the alignment to its quality using a sum-of-pair-based method and additional analyses. Our main goal is to provide users with objective data in order to take informed decisions about the relevance and/or pertinence of including/retaining a particular sequence in an MSA. EvalMSA is written in standard Perl and also uses some routines from the statistical language R. Therefore, it is necessary to install the R-base package in order to get full functionality. Binary packages are freely available from http://sourceforge.net/projects/evalmsa/for Linux and Windows.
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spelling pubmed-51276062016-12-05 EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers Chiner-Oms, Alvaro González-Candelas, Fernando Evol Bioinform Online Original Research We present EvalMSA, a software tool for evaluating and detecting outliers in multiple sequence alignments (MSAs). This tool allows the identification of divergent sequences in MSAs by scoring the contribution of each row in the alignment to its quality using a sum-of-pair-based method and additional analyses. Our main goal is to provide users with objective data in order to take informed decisions about the relevance and/or pertinence of including/retaining a particular sequence in an MSA. EvalMSA is written in standard Perl and also uses some routines from the statistical language R. Therefore, it is necessary to install the R-base package in order to get full functionality. Binary packages are freely available from http://sourceforge.net/projects/evalmsa/for Linux and Windows. Libertas Academica 2016-11-28 /pmc/articles/PMC5127606/ /pubmed/27920488 http://dx.doi.org/10.4137/EBO.S40583 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Original Research
Chiner-Oms, Alvaro
González-Candelas, Fernando
EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title_full EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title_fullStr EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title_full_unstemmed EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title_short EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
title_sort evalmsa: a program to evaluate multiple sequence alignments and detect outliers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127606/
https://www.ncbi.nlm.nih.gov/pubmed/27920488
http://dx.doi.org/10.4137/EBO.S40583
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