Skip to main content

Utilities for whole-cell modeling

Project description

PyPI package Documentation Test results Test coverage Code analysis License Analytics

Whole-cell modeling utilities

This package contains utilities that are useful to multiple whole-cell (WC) software components.

Installation

  1. Install the third-party dependencies listed below. Detailed installation instructions are available in An Introduction to Whole-Cell Modeling.

  2. To use Marvin to calculate major protonation states, set JAVA_HOME to the path to your Java virtual machine (JVM) export JAVA_HOME=/usr/lib/jvm/default-java

  3. To use Marvin to calculate major protonation states, add Marvin to the Java class path export CLASSPATH=$CLASSPATH:/opt/chemaxon/marvinsuite/lib/MarvinBeans.jar

  4. Install this package

    • Install the latest release from PyPI pip install wc_utils[all]

    • Install the latest revision from GitHub pip install git+https://github.com/KarrLab/pkg_utils.git#egg=pkg_utils[all] pip install git+https://github.com/KarrLab/wc_utils.git#egg=wc_utils[all]

Example usage

Documentation

Please see the API documentation.

License

The build utilities are released under the MIT license.

Development team

This package was developed by the Karr Lab at the Icahn School of Medicine at Mount Sinai in New York, USA.

  • Arthur Goldberg

  • Jonathan Karr

Questions and comments

Please contact the Karr Lab with any questions or comments.

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

wc_utils-0.0.13.tar.gz (56.3 kB view details)

Uploaded Source

Built Distribution

wc_utils-0.0.13-py2.py3-none-any.whl (67.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file wc_utils-0.0.13.tar.gz.

File metadata

  • Download URL: wc_utils-0.0.13.tar.gz
  • Upload date:
  • Size: 56.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5

File hashes

Hashes for wc_utils-0.0.13.tar.gz
Algorithm Hash digest
SHA256 060810c18bab1e280ae8a0a8e400e5f550533a4afb56556a26ba63a1a0e36f1e
MD5 c8800b812587b012c2dda14eaa99cc34
BLAKE2b-256 0949105774bd7f61a29139040e6028bdd7464ed02a54ebc44b50feea605f3978

See more details on using hashes here.

File details

Details for the file wc_utils-0.0.13-py2.py3-none-any.whl.

File metadata

  • Download URL: wc_utils-0.0.13-py2.py3-none-any.whl
  • Upload date:
  • Size: 67.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5

File hashes

Hashes for wc_utils-0.0.13-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 535f6da1fccd054e98c4898c9de27bf20c72a0cf35fe0b58661b08b1d6916673
MD5 6744aefbf20e764927b78d152ebf4bf6
BLAKE2b-256 e510732db975715653526335d5cfcf3d66c820256aba26f52bf4bf6d27f205e6

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