Author: Alejandro Lopez-Rincon; Alberto Tonda; Lucero Mendoza-Maldonado; Eric Claassen; Johan Garssen; Aletta D. Kraneveld
Title: Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning Document date: 2020_3_14
ID: c2lljdi7_56
Snippet: In contrast to Experiments 1-4 where the 21-length bps sequences were scattered, in Experiment 5, seven of the sequences are clustered together in the symptomatic cases Fig. 19 , and four of the sequences in asymptomatic cases The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.13.990242 doi: bioRxiv preprint and viral replication. These might be through the interaction of structural and n.....
Document: In contrast to Experiments 1-4 where the 21-length bps sequences were scattered, in Experiment 5, seven of the sequences are clustered together in the symptomatic cases Fig. 19 , and four of the sequences in asymptomatic cases The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.13.990242 doi: bioRxiv preprint and viral replication. These might be through the interaction of structural and non-structural proteins, besides the regulatory sequences in viral RNA. Furthermore, it has been described that mutations in ORF1ab are positively selected during trans-species transmission of SARS-CoV and SARS-like coronaviruses.
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