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DnaSP, DNA polymorphism analyses by the coalescent and other methods

Julio Rozas; Juan Carlos Sánchez-DelBarrio; Xavier Messeguer; R. Rozas · Bioinformatics · 2003

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Author / responsible party
Julio Rozas; Juan Carlos Sánchez-DelBarrio; Xavier Messeguer; R. Rozas
Publisher
Bioinformatics
Year
2003
Language
English

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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 (approximately 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

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APA 7

Rozas, J, Sánchez-DelBarrio, J. C, Messeguer, X, & Rozas, R. (2003). DnaSP, DNA polymorphism analyses by the coalescent and other methods. https://doi.org/10.1093/bioinformatics/btg359

MLA

Rozas, Julio, et al. "DnaSP, DNA polymorphism analyses by the coalescent and other methods." 2003. https://doi.org/10.1093/bioinformatics/btg359.

Chicago

Rozas, Julio, Juan Carlos Sánchez-DelBarrio, Xavier Messeguer, and R. Rozas. 2003. "DnaSP, DNA polymorphism analyses by the coalescent and other methods.". https://doi.org/10.1093/bioinformatics/btg359.

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Rozas, J. et al. 2003, DnaSP, DNA polymorphism analyses by the coalescent and other methods, Bioinformatics, available at: https://doi.org/10.1093/bioinformatics/btg359 [Accessed 8 Aug. 2026].

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Title
DnaSP, DNA polymorphism analyses by the coalescent and other methods
Author / contributors
Julio Rozas; Juan Carlos Sánchez-DelBarrio; Xavier Messeguer; R. Rozas
Publisher
Bioinformatics
Publication year
2003
Language
English

Subjects

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Coalescent theory; Software; Documentation; R package; Computer science; Visualization; Software package; Data mining; Computational biology; Biology; Genetics; Programming language
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