Schmidt-Lebuhn, Alexander N; Aitken, Nicola C; Chuah, Aaron
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]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.