The continuing emergence of SARS-CoV-2 variants of concern (VOCs) presents a serious
public health threat, exacerbating the effects of the COVID19 pandemic. Although millions of …

The 2019 coronavirus disease (COVID-19) pandemic has demonstrated the importance of
predicting, identifying, and tracking mutations throughout a pandemic event. As the COVID …

Background Rapid analysis of SARS-CoV-2 genomic data plays a crucial role in
surveillance and adoption of measures in controlling spread of Covid-19. Fast, inclusive and …

Background Epidemic waves of coronavirus disease 2019 (COVID-19) infections have often
been associated with the emergence of novel severe acute respiratory syndrome …

Machine learning was shown to be effective at identifying distinctive genomic signatures
among viral sequences. These signatures are defined as pervasive motifs in the viral …

High-throughput sequencing techniques and sequence analysis have enabled the
taxonomic classification of pathogens present in clinical samples. Sequencing provides an …

Variants of Concern (VOC) of SARS-CoV-2, including Alpha, Beta, Gamma, and Delta,
threaten to prolong the pandemic leading to more global morbidity and mortality. Genome …

Surveillance of circulating variants of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) is of great importance in controlling the coronavirus disease 2019 (COVID …

Background SARS-CoV-2 genotyping has been instrumental to monitor virus evolution and
transmission during the pandemic. The reliability of the information extracted from the …

Abstract The Resource for Coronavirus 2019 (RCoV19) is an open-access information
resource dedicated to providing valuable data on the genomes, mutations, and variants of …