SHIPS: Spectral Hierarchical clustering for the Inference of Population Structure in genetic studies.

ABSTRACT: Inferring the structure of populations has many applications for genetic research. In addition to providing information for evolutionary studies, it can be used to account for the bias induced by population stratification in association studies. To this end, many algorithms have been proposed to cluster individuals into genetically homogeneous sub-populations. The parametric algorithms, such as Structure, are very popular but their underlying complexity and their high computational cost led to the development of faster parametric alternatives such as Admixture. Alternatives to these methods are the non-parametric approaches. Among this category, AWclust has proven efficient but fails to properly identify population structure for complex datasets. We present in this article a new clustering

SUBMITTER: Bouaziz M 

PROVIDER: S-EPMC3470591 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature