Mummichog is a free Python program for analyzing data from high throughput, untargeted metabolomics. It leverages the organization of metabolic networks to predict functional activity directly from feature tables, bypassing metabolite identification. Thus, high-quality hypotheses can be quickly generated from a LC-MS data table.

OS independent install (version 1): pip install mummichog1

Or mummichog 2 (beta test): pip install mummichog

Run it in command line: mummichog -f myData -o myResult

More to click "Software".

Li et al. (2017) Metabolic Phenotypes of Response to Vaccination in Humans. Cell 169(5): p862-877.

Huan, Tao, et al. "Systems biology guided by XCMS Online metabolomics." Nature methods 14.5 (2017): 461.

Xu et al. "Autophagy is essential for effector CD8+ T cell survival and memory formation." Nature immunology 15.12 (2014): 1152-1161.

More to click "Publications".

Jupyter notebooks are to data people like lab notebooks to bench scientists. They keep code and result in the same web browser. It's increasinlgy popular for data analysis and collaboration. We continue posting notebooks as tutorials and for record keeping.

More to click "Notebooks".