DnaSP, DNA polymorphism analyses by the coalescent and other methods

Abstract

Abstract Summary: DnaSP is a software package for the analysis of DNA polymorphism data. Present version introduces several new modules and features which, among other options allow: (1) handling big data sets (∼5 Mb 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. Availability: The software package, including complete documentation and examples, is freely available to academic users from: http://www.ub.es/dnasp

Keywords

Coalescent theorySoftwareDocumentationR packageComputer scienceVisualizationSoftware packageData miningComputational biologyBiologyGeneticsProgramming languageGenePhylogenetic tree

MeSH Terms

AlgorithmsGene Expression ProfilingPolymorphismGeneticSequence AlignmentSequence AnalysisDNASoftwareUser-Computer Interface

Affiliated Institutions

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Publication Info

Year: 2003
Type: article
Volume: 19
Issue: 18
Pages: 2496-2497
Citations: 6144
Access: Closed

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APA Style

                            
                                
                                    Julio Rozas, 
                                
                                    Juan Carlos Sánchez-DelBarrio, 
                                
                                    Xavier Messeguer
                                
                                et al.
                            
                            (2003). 
                            DnaSP, DNA polymorphism analyses by the coalescent and other methods. 
                            Bioinformatics
                            , 19
                            (18)
                            , 2496-2497.
                            https://doi.org/10.1093/bioinformatics/btg359
                        

Identifiers

DOI: 10.1093/bioinformatics/btg359
PMID: 14668244

Data Quality

Data completeness: 86%