NIAID BRC Codeathons

Identifying conserved vaccine or therapeutic targets for an emerging or re-emerging virus using genomic surveillance, immune evidence, protein structure, host interaction, and literature data.

Translating a biological hypothesis into a reproducible search and analysis of public transcriptomic, proteomic, metabolomic, microbiome, or immune-system datasets.

Automating functional interpretation of poorly characterized pathogen proteins by combining sequence, structure, binding databases, and literature evidence.

An AI-assisted wastewater surveillance workflow that detects pathogens of concern, tracks their prevalence, and flags emerging immune-escape and therapeutic-resistance mutations.

One research question, one coordinated plan spanning BV-BRC, BRC Analytics, PDN, the NIAID Data Ecosystem, NCBI resources, and other participating repositories.

Advancing and systematically evaluating BV-BRC Copilot for generating, executing, and reproducing bioinformatics workflows from research questions and published methods.

Turning a researcher’s free-form analysis request into a validated, runnable Galaxy workflow — by reusing, adapting, or building one.

Preserving validated sample metadata through Galaxy analysis and exporting it as a portable, standards-based record that another scientist can independently audit and reproduce.

Improving the findability and reuse of pathogen datasets by completing, normalizing, and connecting sparse BioProject, BioSample, SRA, and BRC metadata.