Pangolin Lineage Classification of SARS-CoV-2 Genome Sequences
Description
Process a high volume of sequence data in real time to identify meaningful mutational patterns while minimizing the need for human effort.
Detailed example
Lineage classification identifiers for sequences
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improved user retrieval of SARS-CoV-2 genome sequences based on classification and tracking of specific lineages, including those associated with mutations that may decrease effectiveness of therapeutics or protection provided by vaccination.?
Controls / human review
ATO: No; PIA: Not published
Data needed
Publicly available SARS-CoV-2 sequence data from the GenBank resource was used to develop the tool