Skip to main content

A stationary 13C-MFA tool.

Project description

fluxpyt

This package is developed to perform stationary 13C metabolic flux analysis calculations for estimation of intracellular flux distribution. FluxPyt is written in python3. The anaconda package list is provided in the requirements.txt file.

The package was developed as a part of PhD work of Desai Trunil Shamrao at:

Systems Biology for Biofuels Group Group Leader, Dr. Shireesh Srivastava International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi.

Acknowledgements

The PhD fellowship of Trunil is funded by the Council for Scientific and Industrial Research (CSIR). The project is funded by Department of Biotechnology (DBT)

The author specially thanks Ahmad for being there to discuss issues and to help get rid of few bugs.

Installation ( for Windows):

These directions are written for Windows users who are not familiar with Python programming.

Download and install Anaconda distribution (version 3.4.4.0 was used in this tutorial).

Open an Anaconda command prompt. Click on Windows start button. Type ‘anaconda’. A link to open Anaconda command promt will be shown.

Type following commands to create new environment in Anaconda for running fluxpyt:

conda create -n fluxpyt_env python=3.6.1 numpy=1.12.1 scipy=0.19.0 sympy=1.0

activate fluxpyt_env

conda install -c conda-forge lmfit

conda install -c sjpfenninger glpk

conda install csvkit=0.9.1

conda install matplotlib=2.0.2

conda install pandas=0.20.1

conda install spyder

pip install fluxpyt

Changelog

Version 0.1.4

-Cleared code to largely follow PEP 8 guidelines.

Version 0.1.5

-Lower bounds and upper bounds of each reaction can be assigned by user. Note: User defined bounds will affect the final solution only if they affect the bounds of free fluxes. -Initial values of free flux parameters selected ome by one by performing flux variability for each free flux taking into account the previously selected value for other free fluxes.

Version 0.1.4

-Minor changes

Version 0.1.3

-Changed installation directions in README.rst

Version 0.1.2

-Changed installation directions in README.rst

Version 0.1.1

-Project setup created by Pyscaffold.

-Generated documentation using Sphinx

Version 0.1

-Initial release

Note

This project has been set up using PyScaffold 2.5.8. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fluxpyt-0.1.5.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

fluxpyt-0.1.5-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file fluxpyt-0.1.5.tar.gz.

File metadata

  • Download URL: fluxpyt-0.1.5.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for fluxpyt-0.1.5.tar.gz
Algorithm Hash digest
SHA256 0709043c41fdc94e180e638e901d8f0f56329a418ff4594b8a42e9274f7ae7b2
MD5 98f460a779aea5f268c2f9b0f70a6c4a
BLAKE2b-256 56775d3d60a97a59c2aa1dbf0583f784ec539fa67d5f04fca23ebcc9683ac200

See more details on using hashes here.

File details

Details for the file fluxpyt-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: fluxpyt-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for fluxpyt-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 89a425a495c589a8eb1065e1a3df21afc9c4a4118af03d03b25dbffa4edfe437
MD5 dfc10e6970a71566e0ae9a86c682e127
BLAKE2b-256 8637688f4f6e2af2813b7872032198664813acea449f83a13672aedfa52c17ea

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page