genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

By Rod Peakall, Peter E. Smouse. 2006

16,790 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/7bd23e6ec32cb1507a385c21a21150e9c332682f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Samuel A. Cushman
2. P. Meirmans
3. M. D. Schwartz
4. Marie-Josée Fortin
5. P. Neumann
6. Niklaus J. Grünwald
7. T. Wasserman
8. Peter E. Smouse

In Plant Science

1. P. Meirmans
2. Jinliang Wang
3. M. D. Schwartz
4. H. Agrama
5. Niklaus J. Grünwald
6. Zhian N. Kamvar
7. Yong‐Bi Fu
8. G. Eizenga

Citations in the corpus

• Genetic diversity and landscape genetic structure of otter (Lutra lutra) populations in Europe (2010, methodology): “The software GENALEX 6.1 (Peakall and Smouse 2006) was used to compute, for each of the pre-defined groups, the observed and effective average number of alleles per locus (Ao and Ae) and the average expected and observed heterozygosity (He and Ho).”
• The roles of rivers and Pleistocene refugia in shaping genetic diversity in Praomys misonnei in tropical Africa (2011, methodology): “The geographical distances between localities were calculated from GPS coordinates in the software GenAlEx v.6 (Peakall & Smouse, 2006).”
• Can a Botanic Garden Cycad Collection Capture the Genetic Diversity in a Wild Population? (2014, methodology): “Comparative estimates of genetic distance (Nei 1978) and multivariate analysis of genetic distance (following Orloci 1978; Huff et al. 1993) were implemented in GenAlEx, version 6 (Peakall and Smouse 2006).”
• Phylogeography and climatic niche evolution in live oaks (Quercus series Virentes) from the tropics to the temperate zone (2011, methodology): “Several parameters of genetic diversity for each population, including the number of alleles (A), effective number of alleles (Ae), number of private alleles (Ap), information index (I) and expected heterozygosity (He), were calculated using GenAlEx 6.0 (Peakall & Smouse, 2006).”
• Effects of brooding and broadcasting reproductive modes on the population genetic structure of two Antarctic gastropod molluscs (2011, methodology): “The signiWcance of correlations between genetic and geographical distance was assessed using Mantel tests with 999 iterations implemented in GENALEX v6 (Peakall and Smouse 2005).”
• A consensus list of microsatellite markers for olive genotyping (2009, methodology): “2 using the Match option implemented in GenAlEx version 6 software ( Peakall and Smouse 2005 ), applying the matching at all loci and that at all but one locus for two or more sample options.”
• Strong maternal fidelity and natal philopatry shape genetic structure in North Pacific humpback whales (2013, positive): “The expected probability of identity (PID) for each locus was calculated for each regional sample, after removal of replicate samples, using GENALEX (Peakall & Smouse 2006).”
• Continental‐scale assessment of genetic diversity and population structure in quaking aspen (Populus tremuloides) (2013, methodology): “Mantel tests, implemented in GenAlEx (Peakall & Smouse, 2006), were used to test for significant correlations between genetic (linearized ΦST) and geographical distances between sites within clusters identified by structure.”