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ObStruct: A Method to Objectively Analyse Factors Driving Population Structure Using Bayesian Ancestry Profiles
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- Title
- ObStruct: A Method to Objectively Analyse Factors Driving Population Structure Using Bayesian Ancestry Profiles
- Content partner
- FigShare
- Collection
- FigShare
- Description
Bayesian inference methods are extensively used to detect the presence of population structure given genetic data. The primary output of software implementing these methods are ancestry profiles of sampled individuals. While these profiles robustly partition the data into subgroups, currently there is no objective method to determine whether the fixed factor of interest (e.g. geographic origin) correlates with inferred subgroups or not, and if so, which populations are driving this correlatio...
- Format
- Data
- Date created
- 09 Jan, 2014
- Creator
- Velimir Gayevskiy / Steffen Klaere / Sarah Knight / Matthew R. Goddard
- URL
- https://figshare.com/articles/dataset/ObStruct_A_Method_to_Objectively_Analyse_Factors_Driving_Po...
- Related subjects
- ecology / biogeography / Population ecology / Evolutionary biology / population genetics / genetics / Population biology / algorithms / Applied mathematics / statistics / Biostatistics / objectively / analyse / bayesian / ancestry / Mathematics / Biological Sciences / Information and Computing Sciences
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