top of page
MIMOSA
MIMOSA

MIMOSA

MIMOSA is a novel framework for mechanistically linking microibome ecology and metabolomic data.

Using 

MIMOSA

» MIMOSA>Code (GitHub)

  Download the MIMOSA source code from GitHub repository.


» MIMOSA>ReadMe

  Learn how to obtain, compile, and use MIMOSA in your analysis.

Understanding 

MIMOSA

MIMOSA is a comprehensive framework to systematically link variation in metabolomic data with community composition by utilizing taxonomic, genomic, and metabolic information. Specifically, MIMOSA integrates available and inferred genomic data, metabolic network modeling, and a method for predicting community-wide metabolite turnover to estimate the biosynthetic and degradation potential of a given community. It then compares variation in predicted metabolic potential with variation in measured metabolites' abundances to evaluate whether community composition can explain observed shifts in the community metabolome, and to identify key taxa and genes contributing to the shifts.

Citing 

MIMOSA

Noecker et al., Metabolic model-based integration of microbiome taxonomic and metabolomic profiles elucidates mechanistic links between ecological and metabolic variation. mSystems, 1:1, e00013-15, 2016.

Contact Us

Interested in joining the Borenstein Lab? You are welcome to contact us.

Blavatnik School of Computer Science, Check Point Building, Room 243

Faculty of Medical & Health Sciences, Room 706


Tel Aviv University
Tel Aviv 6997801, Israel

tau_map.jpg

© 2023 by Tel Aviv University. Proudly created with Wix.com

bottom of page