A Metadata-Driven Framework for Strengthening Pathogen Genomics Lessons from SARS-CoV-2.

ABSTRACT: During the COVID-19 pandemic, large-scale pathogen sequencing generated millions of SARS-CoV-2 genomes deposited in repositories like GenBank and GISAID. However, most of these records lack detailed patient metadata, such as demographics and clinical outcomes, which limits their utility for large-scale pathogen genomics analyses. While records that are linked to a journal publication might contain such metadata, systematic extraction and linkage to sequence records requires substantial manual effort. In this work, we assess the completeness of metadata in GenBank and demonstrate the value of enriched clinical and demographic annotations for genomic epidemiology. We found that on average GenBank records contained only 21.6% of host metadata, and during our study period ~0.02% of published a

SUBMITTER: Pavia MJ 

PROVIDER: S-EPMC12637741 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature