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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
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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. |
format | Online Article Text |
id | pubmed-5127606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
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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