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Additional file 4 of MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens

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posted on 2019-08-13, 04:00 authored by Guru Radhakrishnan, Nicola Cook, Vanessa Bueno-Sancho, Clare Lewis, Antoine Persoons, Abel Mitiku, Matthew Heaton, Phoebe Davey, Bekele Abeyo, Yoseph Alemayehu, Ayele Badebo, Marla Barnett, Ruth Bryant, Jeron Chatelain, Xianming Chen, Suomeng Dong, Tina Henriksson, Sarah Holdgate, Annemarie Justesen, Jay Kalous, Zhensheng Kang, Szymon Laczny, Jean-Paul Legoff, Driecus Lesch, Tracy Richards, Harpinder Randhawa, Tine Thach, Meinan Wang, Mogens Hovmøller, David Hodson, Diane Saunders
Multivariate discriminant analysis of principal components (DAPC) performed on the 301 global Pst isolates. (a) The Bayesian information criterion (BIC) was calculated for combined DAPC analysis of all 301 global Pst isolates, which indicated an optimal clustering solution of K = 5. (b-f) Further DAPC analysis was carried on each of the initial five population clusters, and assessment of the BIC was used to determine the optimal clustering solution (red circle). The Y-axis corresponds to the BIC, a goodness-of-fit measurement calculated for each K value. (EPS 994 kb)

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