Amplicon-based nanopore minion sequencing of patients with COVID-19 omicron variant from India
Kumar, S.; Lomash, A.; Faruq, M.; Siddiqui, O.; Kumar, S.; v, S.; Suravajhala, P.; Polipalli, S. K.; SCOG_MAMC_ LNH,
Show abstract
SARS-CoV-2 infection has been playing havoc with emerging omicron variants of concern (VoC). Here, we report sequencing of the omicron variant in 13 patients from India using Oxford Nanopore Technology (ONT) Minion, wherein a rapid amplicon based sequence analysis was performed to assess and compare with existing 34 mutations in spike glycoprotein. We highlight and discuss the nature of these mutations that are unique and common to other populations. This is perhaps the first report on omicron variants from India using a long read sequencing chemistry.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS-CoV-2 genomes from India 95%
- Genomics of Post-Vaccination SARS-CoV-2 Infections During the Delta Dominated Second Wave of COVID-19 Pandemic, from Mumbai Metropolitan Region (MMR), India 94%
- Distinct mutations and lineages of SARS-CoV-2 virus in the early phase of COVID-19 pandemic and subsequent one-year global expansion 94%
Similar papers in this journal
- Mutational cascade of SARS-CoV-2 leading to evolution and emergence of omicron variant 95%
- Emergence of a recurrent insertion in the N-terminal domain of the SARS-CoV-2 spike glycoprotein 94%
- Pervasive transmission of E484K and emergence of VUI-NP13L with evidence of SARS-CoV-2 co-infection events by two different lineages in Rio Grande do Sul, Brazil 94%
Similar papers in this journal
- Transmission networks of SARS-CoV-2 in coastal Kenya during the first two waves: a retrospective genomic study 93%
- Co-circulation of multiple influenza A variants in swine harboring genes from seasonal human and swine influenza viruses 92%
- AIVE: accurate predictions of SARS-CoV-2 infectivity from comprehensive analysis 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.