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<scp>genalex</scp> 6: genetic analysis in Excel. Population genetic software for teaching and research

Rod Peakall; Peter E. Smouse · Molecular Ecology Notes · 2005

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Author / responsible party
Rod Peakall; Peter E. Smouse
Publisher
Molecular Ecology Notes
Year
2005
Language
English

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Abstract genalex is a user‐friendly cross‐platform package that runs within Microsoft Excel, enabling population genetic analyses of codominant, haploid and binary data. Allele frequency‐based analyses include heterozygosity, F statistics, Nei's genetic distance, population assignment, probabilities of identity and pairwise relatedness. Distance‐based calculations include amova , principal coordinates analysis (PCA), Mantel tests, multivariate and 2D spatial autocorrelation and twogener . More than 20 different graphs summarize data and aid exploration. Sequence and genotype data can be imported from automated sequencers, and exported to other software. Initially designed as tool for teaching, genalex 6 now offers features for researchers as well. Documentation and the program are available at http://www.anu.edu.au/BoZo/GenAlEx/

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APA 7

Peakall, R. & Smouse, P. E. (2005). genalex 6: genetic analysis in Excel. Population genetic software for teaching and research. https://doi.org/10.1111/j.1471-8286.2005.01155.x

MLA

Peakall, Rod, and Peter E. Smouse. "genalex 6: genetic analysis in Excel. Population genetic software for teaching and research." 2005. https://doi.org/10.1111/j.1471-8286.2005.01155.x.

Chicago

Peakall, Rod and Peter E. Smouse. 2005. "genalex 6: genetic analysis in Excel. Population genetic software for teaching and research.". https://doi.org/10.1111/j.1471-8286.2005.01155.x.

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Peakall, R. and Smouse, P. E. 2005, genalex 6: genetic analysis in Excel. Population genetic software for teaching and research, Molecular Ecology Notes, available at: https://doi.org/10.1111/j.1471-8286.2005.01155.x [Accessed 7 Aug. 2026].

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Title
<scp>genalex</scp> 6: genetic analysis in Excel. Population genetic software for teaching and research
Author / contributors
Rod Peakall; Peter E. Smouse
Publisher
Molecular Ecology Notes
Publication year
2005
Language
English

Subjects

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Pairwise comparison; Software; Population; Computer science; Genetic distance; Allele frequency; Statistics; Biology; Genotype; Data mining; Genetics; Artificial intelligence
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