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GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update
Summary: 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, populat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463245/ https://www.ncbi.nlm.nih.gov/pubmed/22820204 http://dx.doi.org/10.1093/bioinformatics/bts460 |
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author | Peakall, Rod Smouse, Peter E. |
author_facet | Peakall, Rod Smouse, Peter E. |
author_sort | Peakall, Rod |
collection | PubMed |
description | Summary: 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. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au |
format | Online Article Text |
id | pubmed-3463245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34632452013-08-12 GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update Peakall, Rod Smouse, Peter E. Bioinformatics Applications Notes Summary: 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. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au Oxford University Press 2012-10-01 2012-07-20 /pmc/articles/PMC3463245/ /pubmed/22820204 http://dx.doi.org/10.1093/bioinformatics/bts460 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Peakall, Rod Smouse, Peter E. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title | GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title_full | GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title_fullStr | GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title_full_unstemmed | GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title_short | GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update |
title_sort | genalex 6.5: genetic analysis in excel. population genetic software for teaching and research—an update |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463245/ https://www.ncbi.nlm.nih.gov/pubmed/22820204 http://dx.doi.org/10.1093/bioinformatics/bts460 |
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