Closed ggmirandac closed 1 month ago
Hi Gabriel,
I've never tried, but I think you could load all the models in parallel using the multiprocessing package in Python, and after that call the merge function. See the first example here:
https://docs.python.org/3/library/multiprocessing.html
Good luck!
Hi,
I am using you software to combine different models into one big meta-metabolic network. And I am wondering if there is a way to paralelize the process specially in the bottle neck that is the generation of the models (For example when they are stored in a SBML file). Then once created they merge them all.
Bests,
Gabriel