GDA-NT 2021 – a computer program for population genetic data analysis and assignment

Data on genetic diversity and differentiation, as well as kinship between individuals, are important for the conservation of animal and plant genetic resources. Often genetic assignment is part of law enforcement of protected endangered species. The software GDA-NT 2021 is a new, freely available us...

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Bibliographic Details
Published in:Conservation genetics resources 2022-12, Vol.14 (4), p.347-350
Main Author: Degen, Bernd
Format: Article
Language:English
Subjects:
Animal Genetics and Genomics
Biodiversity
Biomedical and Life Sciences
Computers
Conservation
Conservation Biology/Ecology
Data analysis
Ecology
Endangered species
Evolutionary Biology
Genetic analysis
Genetic distance
Genetic diversity
Genetic resources
Law enforcement
Life Sciences
Plant Genetics and Genomics
Population differentiation
Population genetics
Protected species
Software
Statistical analysis
Technical Note
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Description
Summary:Data on genetic diversity and differentiation, as well as kinship between individuals, are important for the conservation of animal and plant genetic resources. Often genetic assignment is part of law enforcement of protected endangered species. The software GDA-NT 2021 is a new, freely available user-friendly Windows program that can be used to compute various measures of genetic diversity and population genetic differentiation. It further allows genetic assignment of individuals to populations and enables the calculation of kinship-coefficients and genetic distances among pairs of individuals within populations. GDA-NT 2021 specifically computes the alternative measures for population differentiation D j and the standardized F ST of Hedrick. It has more options to compute exclusion-probabilities in assignment tests, enables self-assignment tests for variable groups of individuals, and allows for information on geographic positions to be accounted for while using permutation tests to assess statistical significance.
ISSN:1877-7252
1877-7260
DOI:10.1007/s12686-022-01283-2