GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update | Zendy

Rod Peakall | Zendy; Peter E. Smouse | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

Author(s) -

Rod Peakall,

Peter E. Smouse

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts460

Subject(s) - population , computer science , software , spatial analysis , statistics , autocorrelation , data mining , programming language , mathematics , demography , sociology

GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G'(ST), G''(ST), Jost's D(est) and F'(ST) through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research