FSTruct: An F_ST -based tool for measuring ancestry variation in inference of population structure.

ABSTRACT: In model-based inference of population structure from individual-level genetic data, individuals are assigned membership coefficients in a series of statistical clusters generated by clustering algorithms. Distinct patterns of variability in membership coefficients can be produced for different groups of individuals, for example, representing different predefined populations, sampling sites or time periods. Such variability can be difficult to capture in a single numerical value; membership coefficient vectors are multivariate and potentially incommensurable across predefined groups, as the number of clusters over which individuals are distributed can vary among groups of interest. Further, two groups might share few clusters in common, so that membership coefficient vectors are concentrat

SUBMITTER: Morrison ML 

PROVIDER: S-EPMC9544611 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature