The Microbiome Data Working Group brings together our growing community of UCSF data researchers.

Moreno Indias et al. (2021) Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Frontiers in Microbiology. 

Over the past year, the group has worked together to create a repository for sharing pipelines developed by BCMM community members. The repository currently hosts OMICS data analysis pipelines (microbiome and non-microbiome) and educational/training materials. 

In the coming year, we plan to add standardized microbiome multi-omics data integration pipelines. These updates wil support translational microbiome research and better serve the microbiome community.

View the repository