Author: Jing Lu; Louis du Plessis; Zhe Liu; Verity Hill; Min Kang; Huifang Lin; Jiufeng Sun; Sarah Francois; Moritz U G Kraemer; Nuno R Faria; John T McCrone; Jinju Peng; Qianling Xiong; Runyu Yuan; Lilian Zeng; Pingping Zhou; Chuming Liang; Lina Yi; Jun Liu; Jianpeng Xiao; Jianxiong Hu; Tao Liu; Wenjun Ma; Wei Li; Juan Su; Huanying Zheng; Bo Peng; Shisong Fang; Wenzhe Su; Kuibiao Li; Ruilin Sun; Ru Bai; Xi Tang; Minfeng Liang; Josh Quick; Tie Song; Andrew Rambaut; Nick Loman; Jayna Raghwani; Oliver Pybus; Changwen Ke
Title: Genomic epidemiology of SARS-CoV-2 in Guangdong Province, China Document date: 2020_4_4
ID: ju9japd8_19
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.01.20047076 doi: medRxiv preprint To understand the genetic diversity of the SARS-CoV-2 epidemic in Guangdong we performed phylogenetic analyses using maximum likelihood and Bayesian molecular clock approaches. We added our new virus genomes from Guangdong to 177 publicly-available sequences, which includes 73 sequences from China, 17 of which are previously-reported Guangdo.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.01.20047076 doi: medRxiv preprint To understand the genetic diversity of the SARS-CoV-2 epidemic in Guangdong we performed phylogenetic analyses using maximum likelihood and Bayesian molecular clock approaches. We added our new virus genomes from Guangdong to 177 publicly-available sequences, which includes 73 sequences from China, 17 of which are previously-reported Guangdong genomes. The final alignment comprised 250 sequences and increased the number of SARS-CoV-2 sequences from China by ~60% when our data was submitted to GISAID (on 9 th March).
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