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

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

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 https://sourceforge.net/projects/evalmsa/ for Linux and Windows.

Apa Reference Chiner-Oms, A. & González-Candelas, F. (2016). EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers. Evolutionary Bioinformatics, 12. 10.4137/ebo.s40583
Doi 10.4137/ebo.s40583
Publication Date Jan 2016
Publication Type Article
Researcher Álvaro Chiner-Oms
Ontology Bioinformatics Software and Tools, Sequence Alignment
Research Groups
Tools

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