Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning
Alejandro Lopez-Rincon, Alberto Tonda, Lucero Mendoza-Maldonado, Eric Claassen, Johan Garssen, Aletta D. Kraneveld
doi: https://doi.org/10.1101/2020.03.13.990242
Abstract
One of the reasons for the fast spread of SARS-CoV-2 is the lack of accuracy in detection tools in the clinical field. Molecular techniques, such as quantitative real-time RT-PCR and nucleic acid sequencing methods, are widely used to identify pathogens. For this particular virus, however, they have an overall unsatisfying detection rate, due to its relatively recent emergence and still not completely understood features. In addition, SARS-CoV-2 is remarkably similar to other Coronaviruses, and it can present with other respiratory infections, making identification even harder. To tackle this issue, we propose an assisted detection test, combining molecular testing with deep learning.
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