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framed - metabolic modeling for python

Project description

DOI License PyPI version Documentation Status

FRAMED

framed is a python package for analysis and simulation of metabolic models. The main focus is to provide support for different modeling approaches.

  • Modeling: Constraint-based models, Kinetic models, Bioprocess models
  • I/O: Import/Export from SBML and other plain text formats (including BioOpt)
  • Solver support: Gurobi, CPLEX
  • COBRA tools:
    • Simulation: FBA, pFBA, loopless-FBA, MOMA, linearMOMA, ROOM
    • Gene-wise simulation: gene-pFBA, gene-MOMA, gene-lMOMA, gene-ROOM
    • Analysis: FVA, gene essentiality, PhPP, flux envelope plots
    • Ensemble-based simulation (and SBML import/export of ensemble models)
    • Omics integration: GIMME, E-Flux
    • Strain design: brute force, hill climbing
  • Kinetic tools:
    • Time-course and steady-state simulation
    • Steady-state flux sampling
    • Calibration from metabolomics data
  • Bioprocess modeling:
    • Dynamic FBA (single and multi-species)
  • Microbial community modeling:
    • SMETANA

Documentation

For documentation and API please check: http://framed.readthedocs.io/

Instalation from PyPI (stable releases)

pip install framed

Instalation from github (latest development release)

pip install https://github.com/cdanielmachado/framed/archive/master.zip

Credits and License

Developed at:

  • The Novo Nordisk Fundation Center for Biosustainability (2013)
  • Centre of Biological Engineering, University of Minho (2014-2015)
  • European Molecular Biology Laboratory (2016-2017)

Released under an Apache License.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
framed-0.5.1-py2.py3-none-any.whl (128.0 kB) Copy SHA256 hash SHA256 Wheel py2.py3 May 29, 2018
framed-0.5.1.tar.gz (842.1 kB) Copy SHA256 hash SHA256 Source None May 29, 2018

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