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Species trees from consensus single nucleotide polymorphism (SNP) data: Testing phylogenetic approaches with simulated and empirical data

Schmidt-Lebuhn, Alexander N; Aitken, Nicola C; Chuah, Aaron

Description

Datasets of hundreds or thousands of SNPs (Single Nucleotide Polymorphisms) from multiple individuals per species are increasingly used to study population structure, species delimitation and shallow phylogenetics. The principal software tool to infer species or population trees from SNP data is currently the BEAST template SNAPP which uses a Bayesian coalescent analysis. However, it is computationally extremely demanding and tolerates only small amounts of missing data. We used simulated and...[Show more]

CollectionsANU Research Publications
Date published: 2017-11
Type: Journal article
URI: http://hdl.handle.net/1885/139049
Source: Molecular phylogenetics and evolution
DOI: 10.1016/j.ympev.2017.07.018

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