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dc.contributor.authorChiner-Oms, Álvaroes_ES
dc.contributor.authorGonzález-Candelas, Fernandoes_ES
dc.date.accessioned2019-04-12T12:04:55Z-
dc.date.available2019-04-12T12:04:55Z-
dc.date.issued2016-11-28-
dc.identifier.citationEvolutionary Bioinformatics 12:277-284 (2016)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/180073-
dc.description8 páginas, 3 figuras, 2 tablas.es_ES
dc.description.abstractWe 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.es_ES
dc.description.sponsorshipThis study was supported by Ministerio de Economía y Competitividad, Spanish Government (projects BFUFU2011-24112 and BFUFU2014-58656-R) and Dirección General de Salud Pública (Generalitat Valenciana, Spain). ACAC-O was a recipient of a Formación de Profesorado Universitario predoctoral fellowship from Ministerio de Educación, Spanish Government and was awarded with a grant Ayuda de Inicio a la Investigación from Universidad de Valencia. The authors confirm that the funders had no influence over the study design, data collection and analysis, decision to publish, content of the article, or selection of this journal.es_ES
dc.language.isoenges_ES
dc.publisherLibertas Académicaes_ES
dc.relationMINECO/ICTI2013-2016/BFUFU2011-24112es_ES
dc.relationMINECO/ICTI2013-2016/BFUFU2014-58656-Res_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectGappinesses_ES
dc.subjectMultiple sequence alignmentes_ES
dc.subjectOutlier sequencees_ES
dc.titleEvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outlierses_ES
dc.typeartículoes_ES
dc.identifier.doi10.4137/EBO.S40583-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.4137/EBO.S40583es_ES
dc.identifier.e-issn1176-9343-
dc.rights.licenseCreative Commons CCCC-BY-NCNC 3.0 Licensees_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderGeneralitat Valencianaes_ES
dc.contributor.funderMinisterio de Educación (España)es_ES
dc.relation.csicNoes_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003359es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.contributor.orcidChiner-Oms, Álvaro [0000-0002-0463-0101]es_ES
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