Optimizing data-driven excellence: Canada's approach to using pathogen test datasets for quality control, pipeline development and training initiatives.

ABSTRACT: Pathogen genomic surveillance is globally recognized as a pillar of public health. This field has expanded rapidly following the onset of the coronavirus disease 2019 (COVID-19) pandemic, and there is an urgent need to ensure the quality, comparability and reliability of the results of genomic analyses across diverse settings and analytical platforms. Currently, no methodology or framework has been universally adopted to mitigate this issue. This study aimed to provide a solution within the Canadian public health landscape by using standardized test datasets for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic analysis. In this context, a test dataset refers to a curated set of genomic sequences designed to evaluate the accuracy, consistency and performance of sequencin

SUBMITTER: Loos KD 

PROVIDER: S-EPMC12847982 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature