{ "info": { "author": "Fang-Chieh Chou", "author_email": "fcchou1986@gmail.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved", "Operating System :: MacOS", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": ".. image:: https://travis-ci.org/fcchou/HelixMC.png?branch=master\n :target: https://travis-ci.org/fcchou/HelixMC/\n\n######\nREADME\n######\n\nHelixMC\n=======\nHelixMC is a software package for Monte-Carlo (MC) simulations of DNA/RNA\nhelices using the base-pair level model, coded with Python. HelixMC is\ndistributed under the GPLv3 licence.\n\nThe project is authored by Fang-Chieh Chou in 2013, under the supervison of\nDr. Rhiju Das, at the Biochemistry Department of Stanford Unviersity.\n\nLinks\n=====\n- Source code: https://github.com/fcchou/HelixMC\n- HTML documentation: http://helixmc.readthedocs.org/\n- Das Lab @ Stanford: http://daslab.stanford.edu\n\nDependencies\n============\nThe required dependencies to build the software are Python >= 2.7,\nNumpy >= 1.6, Matplotlib >= 1.1.0, and a working C/C++ compiler.\n\nInstall\n=======\nThe easiest way to install is to use pip install::\n\n $ pip install helixmc\n\nAlternatively, one can download the source code from the latest GitHub\nrepository. And install using `setup.py`::\n\n $ python setup.py build\n $ sudo python setup.py install\n\nInstead of installing using setup.py, you can just add your HelixMC folder\ninto the system's ``$PATH`` and ``$PYTHONPATH``. 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