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Statistical Analysis and Comprehension of the Human Cell Atlas in R / Bioconductor: Access and Scalable Infrastructure

Focus Bioconductor

Project Goal

To provide R / Bioconductor software to provide coherent programmatic interface to the HCA, and to enable scalable interactive statistical analysis of single-cell data.

Results & Resources

The Gottardo lab produced a number of packages for single-cell analysis. MAST produces robust differential analysis results—they invested resources to ensure MAST has stayed up to date with the latest advances in the Bioconductor infrastructure. They also developed the mbenchmark R package as a user-friendly tool to allow researchers to easily benchmark common matrix operations on any arbitrary matrix format.


Lead Investigator

Raphael Gottardo
Raphael Gottardo