NLM IRP Seminar Schedule
UPCOMING SEMINARS
-
May 7, 2024 OPEN
TBD -
May 9, 2024 Pascal Mutz
The Riboviria protein structurome expands virus protein annotation and highlights protein relations -
May 14, 2024 Stanley Liang
TBD -
May 16, 2024 Diego Salazar
TBD -
May 21, 2024 Ziynet Kesimoglu
TBD
RECENT SEMINARS
-
May 2, 2024 OPEN
TBD -
April 30, 2024 Wenya Rowe
The conformal central charge of the spin-1/2 XX model derived from long-chain asymptotics -
April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
April 16, 2024 Jaya Srivastava
Regulatory plasticity of the human genome -
April 11, 2024 Sergey Shmakov
Comprehensive survey of the TnpB RNA-guided nucleases
Scheduled Seminars on May 10, 2022
Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions about this seminar.
Abstract:
Wastewater-based epidemiology relies on the high-throughput sequencing (HTS) of pathogens from wastewater, and it has been widely applied during the SARS-CoV-2 pandemic. This approach has some advantages over conventional clinical-based epidemiology since it is a low-cost, non-invasive, and anonymous sampling opportunity that captures viral diversity from multiple symptomatic or asymptomatic individuals. However, there are challenges to the data analysis since viral sequences obtained are derived from multiple genomes. In this research, we have developed a bioinformatic framework to address some of those challenges, process the HTS data and detect the most likely variant of concern present in each location based on their defining single nucleotide variants, insertions, and deletions. In addition, we developed an approach to look at viral diversity at the community level using principal component analysis.