Metadata-Version: 2.1
Name: mdigest
Version: 0.1.1
Summary: Best practices made easy for analysis of correlated motions from molecular dynamics simulations.
Home-page: https://github.com/fmaschietto/MDiGest
Author: Federica Maschietto, Brandon Allen
Author-email: <federica.maschietto@gmail.com>, <brandon.allen@yale.edu>
Keywords: python,correlation,molecular dynamics,MD trajectory analysis,correlated motions,network analysis,community network
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
License-File: LICENSE
Requires-Dist: pandas (>=1.5.3)
Requires-Dist: seaborn (>=0.12.2)
Requires-Dist: mdtraj (>=1.9.7)
Requires-Dist: pyemma (==2.5.12)
Requires-Dist: MDAnalysis (>=2.3.0)
Requires-Dist: silx (>=1.1.1)
Requires-Dist: numba (>=0.56.4)
Requires-Dist: python-louvain (==0.15)
Requires-Dist: nglview (>=3.0.3)
Requires-Dist: networkx (>=2.6.3)
Requires-Dist: silx (>=1.1)

MDiGest is a best-practices-made-easy Python package that handles the most common issues in the network-based analysis of correlated motions from molecular dynamics simulations.
