Dynamical Network Analysis
The Python implementation of Dynamical Network Analysis was built to provide all functionalities necessary to the analysis of Molecular Dynamics (MD) simulations using the Dynamical Network Analysis method.
Install
Install the latest version of Dynamical Network Analysis:
$ pip install dynetan
For additional details, please see INSTALL.md.
Tutorial
Several jupyter notebook tutorials have been prepared as an introduction to this package and were released in an independent repository:
https://gitlab.com/comp-biochem-csu/dynetan_tutorial
Documentation
The full documentation can be found at https://dynamical-network-analysis.readthedocs.io/en/latest/index.html
Resources and References
For the background on Dynamical Network Analysis, see the following papers that describe its development:
Metadata
Release files for dynetan 2.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynetan-2.7.0.tar.gz | 13.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynetan-2.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 MB
Release files / dynetan-2.7.0.tar.gz
| Download URL | dynetan-2.7.0.tar.gz |
|---|---|
| Size | 13.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / dynetan-2.7.0-py3-none-any.whl
| Download URL | dynetan-2.7.0-py3-none-any.whl |
|---|---|
| Size | 67.2 kB |
| Tags | Python 3 |
|
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| Uploaded via |
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