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
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
A chromosome conformation capture ordered sequence of the barley genome
Mascher, M., Gundlach, H., Himmelbach, A., Beier, S., Twardziok, S. O., Wicker, T., Radchuk, V., Dockter, C., Hedley, P. E., Russell, J., et al. (2017) · Nature · doi:10.1038/nature22043 · Cited by 1,450
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
The First Peopling of South America: New Evidence from Y-Chromosome Haplogroup Q
Battaglia, V., Grugni, V., Perego, U. A., Angerhofer, N., Gomez-Palmieri, J. E., Woodward, S. R., Achilli, A., Myres, N., Torroni, A., & Semino, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071390 · Cited by 71
Vargas-Pinilla, P., Paixão-Côrtes, V. R., Paré, P., Tovo-Rodrigues, L., Vieira, C. M. D. A. G., Xavier, A., Comas, D., Pissinatti, A., Sinigaglia, M., Rigo, M. M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419399112 · Cited by 59
DNA methylation changes and TE activity induced in tissue cultures of barley (Hordeum vulgare L.)
Orłowska, R., Machczyńska, J., Oleszczuk, S., Zimny, J., & Bednarek, P. T. (2016) · Journal of Biological Research-Thessaloniki · doi:10.1186/s40709-016-0056-5 · Cited by 53
Kitimu, S. R., Taylor, J., March, T. J., Tairo, F., Wilkinson, M. J., & Rodríguez López, C. M. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00590 · Cited by 50
Sandoval, J. R., Lacerda, D. R., Jota, M. S. A., Salazar-Granara, A., Vieira, P. P. R., Acosta, O., Cuellar, C., Revollo, S., Fujita, R., Santos, F. R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073006 · Cited by 48
Patterns of Genetic Diversity and Mating Systems in a Mass-Reared Black Soldier Fly Colony
Hoffmann, L., Hull, K. L., Bierman, A., Badenhorst, R., Bester-van der Merwe, A. E., & Rhode, C. (2021) · Insects · doi:10.3390/insects12060480 · Cited by 45
High frequency of an otherwise rare phenotype in a small and isolated tiger population
Sagar, V., Kaelin, C. B., Natesh, M., Reddy, P. A., Mohapatra, R. K., Chhattani, H., Thatte, P., Vaidyanathan, S., Biswas, S., Bhatt, S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025273118 · Cited by 41
van der Ven, R. M., Triest, L., De Ryck, D. J. R., Mwaura, J. M., Mohammed, M. S., & Kochzius, M. (2016) · Journal of Biogeography · doi:10.1111/jbi.12643 · Cited by 39
Miller, A. C., Woeste, K. E., Anagnostakis, S. L., & Jacobs, D. F. (2014) · AoB PLANTS · doi:10.1093/aobpla/plu065 · Cited by 38
Mullins, J., McDevitt, A. D., Kowalczyk, R., Ruczyńska, I., Górny, M., & Wójcik, J. M. (2014) · Acta Theriologica · doi:10.1007/s13364-014-0180-2 · Cited by 34
Rumisha, C., Huyghe, F., Rapanoel, D., Mascaux, N., & Kochzius, M. (2017) · PLOS ONE · doi:10.1371/journal.pone.0186817 · Cited by 33
Goldsmith, E. W., Renshaw, B., Clement, C. J., Himschoot, E. A., Hundertmark, K. J., & Hueffer, K. (2016) · Molecular Ecology · doi:10.1111/mec.13509 · Cited by 30
Ioannidis, K., Tomprou, I., Mitsis, V., & Koropouli, P. (2022) · Plants · doi:10.3390/plants11192569 · Cited by 31
Amoah, L. E., Abukari, Z., Dawson-Amoah, M. E., Dieng, C. C., Lo, E., & Afrane, Y. A. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06120-9 · Cited by 30
East African origins for Madagascan chickens as indicated by mitochondrial DNA
Herrera, M. B., Thomson, V. A., Wadley, J. J., Piper, P. J., Sulandari, S., Dharmayanthi, A. B., Kraitsek, S., Gongora, J., & Austin, J. J. (2017) · Royal Society Open Science · doi:10.1098/rsos.160787 · Cited by 28
Gordicho, V., Vicente, J. L., Sousa, C. A., Caputo, B., Pombi, M., Dinis, J., Seixas, G., Palsson, K., Weetman, D., Rodrigues, A., et al. (2014) · Malaria Journal · doi:10.1186/1475-2875-13-423 · Cited by 29
Vergara, M., Cushman, S. A., & Ruiz-González, A. (2017) · Landscape Ecology · doi:10.1007/s10980-017-0512-0 · Cited by 29
Ocean currents determine functional connectivity in an Antarctic deep‐sea shrimp
Dambach, J., Raupach, M. J., Leese, F., Schwarzer, J., & Engler, J. O. (2016) · Marine Ecology · doi:10.1111/maec.12343 · Cited by 29
Draheim, H. M., Moore, J. A., Fortin, M., & Scribner, K. T. (2018) · Evolutionary Applications · doi:10.1111/eva.12617 · Cited by 29
Population genetic structure of the red fox (Vulpes vulpes) in the UK
Atterby, H., Allnutt, T. R., MacNicoll, A. D., Jones, E. P., & Smith, G. C. (2015) · Mammal Research · doi:10.1007/s13364-014-0209-6 · Cited by 27
Basto, M. P., Santos-Reis, M., Simões, L., Grilo, C., Cardoso, L., Cortes, H., Bruford, M. W., & Fernandes, C. (2016) · PLOS ONE · doi:10.1371/journal.pone.0145165 · Cited by 28
Maharaj, A., & Rampersad, S. N. (2012) · Molecular Biotechnology · doi:10.1007/s12033-011-9434-2 · Cited by 28
van der Ven, R. M., Flot, J.-F., Buitrago-López, C., & Kochzius, M. (2021) · Heredity · doi:10.1038/s41437-020-00379-5 · Cited by 26
Environmental resistance and habitat quality influence dispersal of the saltwater crocodile
Fukuda, Y., Moritz, C., Jang, N., Webb, G., Campbell, H., Christian, K., Lindner, G., & Banks, S. (2022) · Molecular Ecology · doi:10.1111/mec.16310 · Cited by 25
Barley somatic embryogenesis-an attempt to modify variation induced in tissue culture
Orłowska, R. (2021) · Journal of Biological Research-Thessaloniki · doi:10.1186/s40709-021-00138-5 · Cited by 23
Zecchin, B., De Nardi, M., Nouvellet, P., Vernesi, C., Babbucci, M., Crestanello, B., Bagó, Z., Bedeković, T., Hostnik, P., Milani, A., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0213515 · Cited by 20
Chatzidimopoulos, M., Ganopoulos, I., Moraitou-Daponta, E., Lioliopoulou, F., Ntantali, O., Panagiotaki, P., & Vellios, E. K. (2019) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00489 · Cited by 19
Sahoo, A., Behura, S., Singh, S., Jena, S., Ray, A., Dash, B., Kar, B., Panda, P. C., & Nayak, S. (2021) · Brazilian Journal of Botany · doi:10.1007/s40415-021-00711-1 · Cited by 17
Ganguly, I., Jeevan, C., Singh, S., Dixit, S. P., Sodhi, M., Ranjan, A., Kumar, S., & Sharma, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-66133-3 · Cited by 13
Medium Composition Affects the Tissue Culture-Induced Variation in Triticale Regenerants
Pachota, K. A., Orłowska, R., & Bednarek, P. T. (2022) · Plant Cell, Tissue and Organ Culture (PCTOC) · doi:10.1007/s11240-022-02327-z · Cited by 15
Valle-Silva, G., Frontanilla, T. S., Ayala, J., Donadi, E. A., Simões, A. L., Castelli, E. C., & Mendes-Junior, C. T. (2022) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2022.102676 · Cited by 13
Gomes, B., Wilding, C. S., Weetman, D., Sousa, C. A., Novo, M. T., Savage, H. M., Almeida, A. P. G., Pinto, J., & Donnelly, M. J. (2015) · BMC Evolutionary Biology · doi:10.1186/s12862-015-0477-z · Cited by 14
ZHANG, K., WU, Z.-D., LI, Y.-H., ZHANG, H., WANG, L.-P., ZHOU, Q.-L., TANG, D.-B., FU, Y.-F., HE, F.-F., JIANG, Y.-C., et al. (2014) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(14)60779-6 · Cited by 15
Śliwińska, A. A., Białek, A., Orłowska, R., Mańkowski, D., Sykłowska-Baranek, K., & Pietrosiuk, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115752 · Cited by 14
(2023) · doi:10.3390/ani13182857 · Cited by 13
The association between leptin receptor polymorphism and suicidal behaviour in depressed adolescents
Acikel, S. B., Eroglu, C., Ugras Dikmen, A., & Kurar, E. (2020) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651501.2019.1711422 · Cited by 11
Species-specific SNP arrays for non-invasive genetic monitoring of a vulnerable bat
Thavornkanlapachai, R., Armstrong, K. N., Knuckey, C., Huntley, B., Hanrahan, N., & Ottewell, K. (2024) · Scientific Reports · doi:10.1038/s41598-024-51461-5 · Cited by 9
Meng, Q., Wang, H., Xiao, W., Mai, W., Liu, Y., Xiao, Y., Wang, P., Sui, J., He, X., Yin, F., et al. (2025) · Mycology · doi:10.1080/21501203.2025.2461725 · Cited by 8
Population genetics of Bull Trout ( Salvelinus confluentus ) in the upper Athabasca River basin
Carroll, E. K. T., & Vamosi, S. M. (2021) · Ecology and Evolution · doi:10.1002/ece3.8110 · Cited by 3
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.