Colloquium| Institute of Mathematical Sciences
Time：Monday, Apirl 12th, 2021, 10:30-11:30
Location：R408, IMS
Speaker: YiXue Li, CAS
Abstract: In order to make research on the global transmission at the earlier stage and its details and spreading mechanism of COVID-19, we developed knowledge graph enhanced and topological segmentation based phylogenetic network analysis, which can perfectly recreate the past research on SARS, Japanese research on Covid-19, Chinese sorting research on genotype L and S of Covid-19, and British research result of PNAS thesis. We constructed SARS-CoV-2 system variation network graph with the parameter of parsimony informative sites and its change frequency by selecting two public database 1234 from GISAID and NCBI from the time zone of December 1, 2019 to March 26 2020 and by strictly quality controlled SARS-CoV-2 genome data, and segment and cluster according to the characteristics of topological structure of network graph, and establish the relation between the topological relation chain and macro-time and space spreading chain of the earlier spreading of COVID-19 globally combing macro-popular big data of COVID-19 to expose the time and and space evolution pattern and key details of global spreading of SARS-CoV-2. Finally, we make molecular evolution analysis aiming to variation of characteristic sites of SARS-CoV-2 in different spreading areas combining information on epidemiology of knowledge graph and illustrate the adaptation mechanism of SARS-CoV-2’s variation in different areas.
We form independent topological clades with the characteristics of parsimony informatie sites after we make topological segmentation on SARS-CoV-2 phyogenetic network. These topological clad are consisted of a group of interconnected case code with same parsimony informative sites and including information on COVID-19 time and space and on disease’s being popular. We can clearly see that there are sparse case code connecting lines bearing different links that expose the key spreading chain of the transmission of novel coronavirus.