Apr 28, 2020
Researchers crack COVID-19 genome signature
Posted by Genevieve Klien in categories: biotech/medical, robotics/AI
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
This new data discovery tool will allow researchers to quickly and easily classify a deadly virus like COVID-19 in just minutes—a process and pace of high importance for strategic planning and mobilizing medical needs during a pandemic.
The study also supports the scientific hypothesis that COVID-19 (SARS-CoV-2) has its origin in bats as Sarbecovirus, a subgroup of Betacoronavirus.