The jQMM library is an open-source, python-based library for bioengineering. The jQMM library provides tools for modeling internal metabolic fluxes and leveraging other 'omics data for metabolic engineering for the production of biofuels and other purposes.
You can find the paper describing the jQMM library here:
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1615-y
The jQMM library is intended to facilitate the design and metabolic engineering of organisms for biofuels and other chemicals, as well as investigations of cellular metabolism and ’omics data leveraging. As an open source software project, JBEI hopes it will attract additions from the community and grow with the rapidly changing field of metabolic flux analysis.
Specifically, the jQMM library provides tools for the following capabilities:
- The jQMM is a complete toolbox for performing types of flux analysis that are typically disjoint: Flux Balance Analysis and 13C Metabolic Flux Analysis.
- The jQMM can use 13C labeling experimental data to constrain comprehensive genome-scale models through a technique called two-scale 13C Metabolic Flux Analysis (2S-13C MFA).
- The jQMM demonstrates a method that uses proteomics data to produce actionable items that increase biofuel production.
All code is illustrated in a variety of Jupyter notebook demos (see /jupyterNotebooks folder) that enhance reproducibility and provide the capability to be modified by the user.
Code can be found in the /code folder whereas data used for the demonstrations can be found in the /data folder.
This library requires GAMS (https://www.gams.com/), CPLEX (https://www-01.ibm.com/software/commerce/optimization/cplex-optimizer/) and CONOPT (http://www.conopt.com/) licenses to work. Jupyter notebooks have been created with GAMS Release: 24.5.4 r54492 LEX-LEG x86 64bit/Linux and CONOPT version 3.17A .
Clone this github repository and test the library by running the jupyter notebooks (http://jupyter.org/). To check that everything is installed properly, run notebook B1, or the "Quick tests" in notebook A0. Then choose tests from the other jupyter notebooks as desired.
For ease of installation, a docker version of this library can be downloaded at: https://github.com/JBEI/jqmm/tree/master/dockerContainer.
Library dependencies can be found in: https://github.com/JBEI/jqmm/blob/master/dockerContainer/requirements.txt
For optimal performance in solving large genome-scale models with jQMM we recommend a computer system with at least 32 cpu cores (64 bit), 32 GB or more of ram, and 32 GB of solid state disk storage. The absolute minimum requirements are 2 cpu cores (64 bit), 4 GB of ram, and 16 GB of disk storage.
JBEI Quantitative Metabolic Modeling library (JQMM), Copyright (c) 2016, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
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