GENBMAP

GENBMAP maps spatial genetic structure by producing two-dimensional nonparametric representations of genotypes combined with geographic coordinates to identify areas of allele-frequency variation.

Key Features:

• Two-Dimensional Graphical Representation: Produces two-dimensional graphical representations of genotypes overlaid with geographic coordinates.
• Nonparametric Method: Employs a nonparametric statistical approach for spatial analysis of genetic data.
• Genetical Bandwidth Parameter: Computes a genetical bandwidth that quantifies the shortest distance to areas exhibiting significant allele variation.
• Womble's Systemic Function: Uses Womble's systemic function to compute the genetical bandwidth.
• Integration of Genotypic and Geographic Data: Integrates genotypic data with geographic coordinates to produce spatial representations of genetic structure.

Scientific Applications:

• Characterization of Allele-Frequency Variation: Characterizes spatial variation in allele frequencies across populations.
• Identification of Genetic Boundaries and Clines: Locates genetic boundaries and clines by identifying regions of significant allele variation.
• Fine-Scale Population Structure Analysis: Detects fine-scale genetic structures when they are more pronounced than large-scale patterns.
• Demonstration on Simulated and Empirical Data: Has been applied to simulated datasets and real-world data to identify subtle spatial genetic patterns.

Methodology:

Applies a descriptive, nonparametric approach that integrates genotypic data with geographic coordinates to produce two-dimensional spatial representations, and computes a genetical bandwidth using Womble's systemic function to quantify distances to areas of significant allele variation.