Network-based hierarchical population structure analysis for large genomic data sets.

ABSTRACT: Analysis of population structure in natural populations using genetic data is a common practice in ecological and evolutionary studies. With large genomic data sets of populations now appearing more frequently across the taxonomic spectrum, it is becoming increasingly possible to reveal many hierarchical levels of structure, including fine-scale genetic clusters. To analyze these data sets, methods need to be appropriately suited to the challenges of extracting multilevel structure from whole-genome data. Here, we present a network-based approach for constructing population structure representations from genetic data. The use of community-detection algorithms from network theory generates a natural hierarchical perspective on the representation that the method produces. The method is compu

SUBMITTER: Greenbaum G 

PROVIDER: S-EPMC6886512 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature