MAIMS

• MAIMS deconvolutes the isotopologue profile of large metabolites upon specific tracer administration into individual contributions of metabolic moieties.
• Compatibility: MAIMS is Python 2.7 and Python 3.5+ compliant
• Prerequisites: Apart from a working version of Python, the following non-standard libraries need to be installed: scipy, numpy and sympy (MAIMS.py) and matplotlib (timeseries_plot.py)
• Disclaimer: MAIMS should work on all platforms, but was only tested in a Linux (Ubuntu 16.04) system.

Installation of MAIMS

• Make sure you have all MAIMS dependencies installed: numpy, scipy, sympy and matplotlib
• Copy/paste the MAIMS source files to a dedicated folder

Running MAIMS

• For more information on how to run MAIMS, type:

	python /path_to_maims/MAIMS.py -h

• Example:

	python MAIMS.py -m UDP_GlcNAc.mdl -f example_UDPGlcNAc_noncorrected_isotopologue.txt -n -v --rel 10 --abs 0.002

• For more information on how to run timeseries_plot.py, type:

	python /path_to_maims/timeseries_plot.py -h

• Example:

	python timeseries_plot.py -i example_timeseries_plot_input.txt -f 14 -x 0.7 -y 0.89

Citing MAIMS

Verdegem, D., Moseley, H.N.B., Vermaelen, W. et al. Metabolomics (2017) 13: 123. https://doi.org/10.1007/s11306-017-1250-7

https://link.springer.com/article/10.1007/s11306-017-1250-7