ArticleEntropy (Basel, Switzerland)2023
A Comparison of Entropic Diversity and Variance in the Study of Population Structure.
Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Genetic characteristics of endemic Prunus tomentosa in China based on microsatellites.BMC plant biology · 2025Article
- The evolutionary features and roles of single nucleotide variants and charged amino acid mutations in influenza outbreaks during NPI period.Scientific reports · 2024Article
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Authors and funding
1 author.
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Abstract
AMOVA is a widely used approach that focuses on variance within and among strata to study the hierarchical genetic structure of populations. The recently developed Shannon Informational Diversity Translation Analysis (SIDTA) instead tackles exploration of hierarchical genetic structure using entropic allelic diversity. A mix of artificial and natural population data sets (including allopolyploids) is used to compare the performance of SIDTA (a 'q = 1' diversity measure) vs. AMOVA (a 'q = 2' measure) under different conditions. An additive allelic differentiation index based on entropic allelic diversity measuring the mean difference among populations (Ω
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