HHS · no agency ID · record R0968
Pangolin Lineage Classification of SARS-CoV-2 Genome Sequences
Department of Health and Human Services · HHS/NIH
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2021-04 (month precision)Source: Apr-21
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Science
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Process a high volume of sequence data in real time to identify meaningful mutational patterns while minimizing the need for human effort.
Expected benefits
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.?
System outputs
Lineage classification identifiers for sequences
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- github.com ↗
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- http://cov-lineages.org; https://pangolin.cog-uk.io/
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- Publicly available SARS-CoV-2 sequence data from the GenBank resource was used to develop the tool
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported