Episode 80: Benchmark datasets for SARS-CoV-2

In this episode of the microbinfie podcast, researchers from the CDC discuss their comprehensive benchmark datasets for SARS-CoV-2 genome sequencing, addressing critical needs in bioinformatics pipeline validation and quality control.

Additional Resources

• For details on previous papers related to bacterial datasets, you can refer to this article.

Connect with the Researchers

• Jill Hagey can be found on Twitter @JillHagey and through her website at jvhagey.github.io.
• Lingzi Xiaoli can be connected with on LinkedIn.

Both researchers bring valuable insights into the development of datasets that contribute significantly to the scientific community's understanding of SARS-CoV-2.

Key Points

1. SARS-CoV-2 Benchmark Dataset Development

• Created to support state partners in developing bioinformatics pipelines
• Designed to accommodate labs at different stages of sequencing capabilities
• Includes diverse sample types: outbreak scenarios, sequencing platform variations, and failed QC samples

2. Dataset Characteristics

• Covers multiple SARS-CoV-2 variants, including early Delta variants
• Provides raw reads, complete genomes, and phylogenetic trees
• Addresses challenges of host contamination and variable genome quality

3. Data Accessibility and Future Plans

• Uses downloadable TSV files with accession codes and checksums
• Ongoing project with plans to incorporate emerging variants
• Maintained through GitHub for continuous updates

Take-Home Messages

• Benchmark datasets are crucial for standardizing SARS-CoV-2 genome analysis
• Quality control remains a significant challenge in COVID-19 genomic research
• Collaborative, adaptable approaches are key to managing evolving viral data