JBIMS fosters collaboration and synergy across UC Berkeley and Berkeley Lab, combining strengths in Theory, Technology, Model Systems and Data Science to promote microbiome-based solutions for the health of our community, our ecosystems and our planet.
Integrative Microbiome Science for Discovery, Prediction and Translation:
Coordinating across disciplines to advance and evaluate theories from ecology, evolution, biophysics and thermodynamics to understand and predict microbiome structure and function.
Technology for Microbiomes
Developing and integrating diverse technologies to observe and manipulate microbiomes and their interactions with their environments or hosts.
Data Science for Microbiomes
Building a community of microbiome researchers that promote data science best practices for reproducible and reusable datasets, and develop innovative science to uncover causal mechanisms in microbiomes.
Microbiome Model Systems
Developing and promoting the use of reproducible model systems for the study of microbiomes across scales of complexity.
News & Events
New work from the Fithian group reports a rarefaction efficiency index to determine the sensitivity of microbiome data to loss upon rarefaction and guide the decisions of researchers. Published February 25, 2022 in Bioinformatics: https://doi.org/10.1093/bioinformatics/btac127.