The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update
Open accessAbstract
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 Dest 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
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Cites
Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.
Slatkin, M. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2361 · Cited by 1,614
Research works printed but not linked: 21
- Banks, 2012, Genetic spatial autocorrelation can readily detect sex-biased dispersal, Mol. Ecol., 21, 2092, 10.1111/j.1365-294X.2012.05485.x · DOI
- Double, 2005, Dispersal, philopatry and infidelity: dissecting local genetic structure in superb fairy-wrens (Malurus cyaneus), Evolution, 59, 625
- Excoffier, 2010, Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows, Mol. Ecol. Res., 10, 564, 10.1111/j.1755-0998.2010.02847.x · DOI · Paper page
- Hedrick, 2005, Genetics of Populations
- Jost, 2008, G ST and its relatives do not measure differentiation, Mol. Ecol., 17, 4015, 10.1111/j.1365-294X.2008.03887.x · DOI · Paper page
- Jombart, 2008, adegenet: a R package for the multivariate analysis of genetic markers, Bioinformatics, 24, 1403, 10.1093/bioinformatics/btn129 · DOI · Paper page
- Meirmans, 2006, Using the AMOVA framework to estimate a standardized genetic differentiation measure, Evolution, 60, 2399, 10.1111/j.0014-3820.2006.tb01874.x · DOI · Paper page
- Meirmans, 2011, Assessing population structure: FST and related measures, Mol. Ecol. Res., 11, 5, 10.1111/j.1755-0998.2010.02927.x · DOI · Paper page
- Meirmans, 2004, GENOTYPE and GENODIVE: two programs for the analysis of genetic diversity of asexual organisms, Mol. Ecol. Notes, 4, 792, 10.1111/j.1471-8286.2004.00770.x · DOI · Paper page
- Paradis, 2010, pegas: an R package for population genetics with an integrated-modular approach, Bioinformatics, 26, 419, 10.1093/bioinformatics/btp696 · DOI · Paper page
- Peakall, 2003, Spatial autocorrelation analysis offers new insights into gene flow in the Australian bush rat, Rattus fuscipes, Evolution, 57, 1182
- Peakall, 2006, GenAlEx 6: genetic analysis in Excel. Population genetic software for teaching and research, Mol. Ecol. Notes, 6, 288, 10.1111/j.1471-8286.2005.01155.x · DOI · Paper page
- Pritchard, 2000, Inference of population structure using multilocus genotype data, Genetics, 155, 945, 10.1093/genetics/155.2.945 · DOI · Paper page
- Rousset, 2008, GENEPOP’007: a complete re-implementation of the genepop software for Windows and Linux, Mol. Ecol. Res., 8, 103, 10.1111/j.1471-8286.2007.01931.x · DOI · Paper page
- Ryman, 2009, GST is still a useful measure of genetic differentiation—a comment on Jost's D, Mol. Ecol., 18, 2084, 10.1111/j.1365-294X.2009.04187.x · DOI
- Sherwin, 2006, Measurement of biological information with applications from genes to landscapes, Mol. Ecol., 15, 2857, 10.1111/j.1365-294X.2006.02992.x · doi:10.1111/j.1365-294x.2006.02992.x
- Smouse, 1999, Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure, Heredity, 82, 561, 10.1038/sj.hdy.6885180 · DOI · Paper page
- Smouse, 1978, A comparison of the genetic infrastructure of the Ye'cuana and Yanomama: a likelihood analysis of genotypic variation among populations, Genetics, 88, 611, 10.1093/genetics/88.3.611 · doi:10.1093/genetics/88.3.611
- Smouse, 2008, A heterogeneity test for fine-scale genetic structure, Mol. Ecol., 17, 3389, 10.1111/j.1365-294X.2008.03839.x · DOI
- Weir, 1990, Genetic Data Analysis
- Whitlock, 2011, G'ST and D do not replace FST, Mol. Ecol., 20, 1083, 10.1111/j.1365-294X.2010.04996.x · DOI · Paper page
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Miller, W., Schuster, S. C., Welch, A. J., Ratan, A., Bedoya-Reina, O. C., Zhao, F., Kim, H. L., Burhans, R. C., Drautz, D. I., Wittekindt, N. E., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210506109 · Cited by 353
Genetic Traces of Recent Long-Distance Dispersal in a Predominantly Self-Recruiting Coral
van Oppen, M. J. H., Lutz, A., De'ath, G., Peplow, L., & Kininmonth, S. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003401 · Cited by 97
Tikendra, L., Potshangbam, A. M., Dey, A., Devi, T. R., Sahoo, M. R., & Nongdam, P. (2021) · Physiology and Molecular Biology of Plants · doi:10.1007/s12298-021-00939-x · Cited by 83
Ginja, C., Gama, L. T., Cortés, O., Burriel, I. M., Vega-Pla, J. L., Penedo, C., Sponenberg, P., Cañón, J., Sanz, A., do Egito, A. A., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-47636-0 · Cited by 71
Metadata
- Authors
- Peakall, R., & Smouse, P. E.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-07-20
- Volume
- 28
- Issue
- 19
- Pages
- 2537-2539
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2127396309
- Cited by
- 13,131
- References
- 1
- FWCI
- 333.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
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