Python and MATLAB code and data for the E. coli glycogen starvation project
The data and Python/MATLAB code used for analysis and figure generation of E. coli glycogen starvation project is provided here. If using any of the code or data, please cite the following article:
Karthik Sekar, Stephanie M. Linker, Jen Nguyen, Alix Grünhagen, Roman Stocker, Uwe Sauer. Bacterial glycogen provides short-term benefits in changing environments. Applied and Environmental Microbiology. Volume 86. Issue 9. 2020. doi:10.1128/AEM.00049-20
This Github is divided as follows:
- Part 1 - Real-time metabolomics data and figure generation
- Part 2 - Intracellular glycogen data and figure generation
- Part 3 - Growth rate and lag time data and calculations
- Part 4 - Glucose uptake rate calculations
- Part 5 - Microfluidic-based microscopy calculations