Serratus: Ultra-deep Search for Novel Viruses in Public Genomic Data

Serratus is a collaborative open science project for ultra-rapid discovery of known and unknown coronaviruses in response to the COVID-19 pandemic. The dataset contains vertebrate viral alignment data derived from re-analysis of publicly available genomic data. It is hosted by the Serratus project and the UBC Cloud Innovation Centre on Amazon S3 under a CC0-1.0 license.

Use Cases

• Identify novel coronavirus sequences based on ultra-deep search methodology.
• Analyze viral evolution and diversity based on vertebrate viral alignment data.
• Train models for viral sequence classification based on genomic features.
• Explore viral host associations based on vertebrate-specific data.

Strengths

• Data is derived from re-analysis of publicly available genomic data, providing a consolidated resource.
• Released under a permissive CC0-1.0 public domain license.
• Project is a collaborative open science effort focused on pandemic response.

Limitations

• Row count, size, and column-level documentation are unknown.
• Last update date is unknown; freshness unverified.
• Data may reflect bias inherent to the source public genomic repositories.

Provenance

Source

Serratus / UBC Cloud Innovation Centre

Collection Method

Re-analysis of publicly available genomic data.

Time Range

null

Freshness

Last updated is unknown.

Geography

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