DnaSP, DNA polymorphism analyses by the coalescent and other methods

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/9016

dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.contributor.author	Rozas, Julio
dc.contributor.author	Sánchez del Barrio, Juan C.
dc.contributor.author	Messeguer Peypoch, Xavier
dc.contributor.author	Rozas, Ricardo
dc.date	2003-12
dc.identifier.citation	1367-4803
dc.identifier.citation	10.1093/bioinformatics/btg359
dc.identifier.uri	http://hdl.handle.net/2117/9016
dc.language.iso	eng
dc.relation	http://bioinformatics.oxfordjournals.org/content/19/18/2496.abstract
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject	DNA -- Analysis
dc.subject	DnaSP (Computer program)
dc.subject	ADN -- Anàlisi
dc.title	DnaSP, DNA polymorphism analyses by the coalescent and other methods
dc.type	info:eu-repo/semantics/draft
dc.type	info:eu-repo/semantics/article
dc.description.abstract	1) The software package, including complete documentation and examples, is freely available to academic users from: http://www.ub.es/dnasp 2) Article espanyol més citat de la dècada 1999-2009, segons ScienceWatch (Set. 2010)
dc.description.abstract	DnaSP is a software package for the analysis of DNA polymorphism data. Present version introduces several new modules and features which, among other options allows, 1) handling big data sets (~5 Mbp per sequence); 2) conducting a large number of coalescent- based tests by Monte Carlo computer simulations; 3) extensive analyses of the genetic differentiation and gene flow among populations; 4) analysing the evolutionary pattern of preferred and unpreferred codons; 5) generating graphical outputs for an easy visualization of results.
dc.description.abstract	Peer Reviewed
dc.description.abstract	Award-winning

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