10.6084/m9.figshare.9565904.v1
Guru Radhakrishnan
Guru
Radhakrishnan
Nicola Cook
Nicola
Cook
Vanessa Bueno-Sancho
Vanessa
Bueno-Sancho
Clare Lewis
Clare
Lewis
Antoine Persoons
Antoine
Persoons
Abel Mitiku
Abel
Mitiku
Matthew Heaton
Matthew
Heaton
Phoebe Davey
Phoebe
Davey
Bekele Abeyo
Bekele
Abeyo
Yoseph Alemayehu
Yoseph
Alemayehu
Ayele Badebo
Ayele
Badebo
Marla Barnett
Marla
Barnett
Ruth Bryant
Ruth
Bryant
Jeron Chatelain
Jeron
Chatelain
Xianming Chen
Xianming
Chen
Suomeng Dong
Suomeng
Dong
Tina Henriksson
Tina
Henriksson
Sarah Holdgate
Sarah
Holdgate
Annemarie Justesen
Annemarie
Justesen
Jay Kalous
Jay
Kalous
Zhensheng Kang
Zhensheng
Kang
Szymon Laczny
Szymon
Laczny
Jean-Paul Legoff
Jean-Paul
Legoff
Driecus Lesch
Driecus
Lesch
Tracy Richards
Tracy
Richards
Harpinder Randhawa
Harpinder
Randhawa
Tine Thach
Tine
Thach
Meinan Wang
Meinan
Wang
Mogens Hovmøller
Mogens
Hovmøller
David Hodson
David
Hodson
Diane Saunders
Diane
Saunders
Additional file 4 of MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens
Springer Nature
2019
Pathogen surveillance
Genomics
Point of care
Disease diagnostics
Wheat rust
Nanopore sequencing
2019-08-13 04:00:32
Figure
https://springernature.figshare.com/articles/figure/Additional_file_4_of_MARPLE_a_point-of-care_strain-level_disease_diagnostics_and_surveillance_tool_for_complex_fungal_pathogens/9565904
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 Kâ=â5. (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)