Using single-cell data analysis as a focused scientific test case, this project will build stronger connections between three major bioinformatics platforms: Bioconductor, Galaxy and nf-core. Although many powerful tools already exist, differences in packaging and metadata make them hard to find, combine and reuse across a fragmented research software landscape. The team will develop shared, well-documented example workflows, align metadata so tools can be discovered across platforms, and deliver hands-on training to help researchers apply them to their own data. Beyond improving current practice, the project is designed as a model for how different software communities can work together around common FAIR standards.
By demonstrating practical, cross-platform solutions, it aims to act as a springboard for wider collaboration and future FAIR-by-design infrastructure across the life sciences.
BioFAIR Pathfinder Projects receive up to £100,000 over 12 months to prototype practical solutions to real-world barriers in making life sciences data and workflows FAIR and AI-ready.