Metadata-Version: 2.1
Name: pyntacle
Version: 1.3
Summary: A Python package for network analysis based on non canonical metrics and HPC computing
Home-page: http://pyntacle.css-mendel.it/
Author: Tommaso Mazza
Author-email: bioinformatics@css-mendel.it
License: UNKNOWN
Project-URL: Documentation, http://pyntacle.css-mendel.it:10080/#docs
Project-URL: Source, https://github.com/mazzalab/pyntacle
Project-URL: Tracker, https://github.com/mazzalab/pyntacle/issues
Project-URL: Developmental plan, https://github.com/mazzalab/pyntacle/projects
Description: ![Pyntacle logo](http://pyntacle.css-mendel.it/images/title_joined.png)
        
        A Python package for network analysis based on non canonical
        metrics and HPC computing
        
        - **Compatibility**: Python 3.7
        - **Contributions**: bioinformatics@css-mendel.it
        - **Website**: http://pyntacle.css-mendel.it
        - **Conda**: https://anaconda.org/bfxcss/pyntacle [![Anaconda-Server Badge](https://anaconda.org/bfxcss/pyntacle/badges/platforms.svg)](https://anaconda.org/bfxcss/pyntacle) [![Anaconda-Server Badge](https://anaconda.org/bfxcss/pyntacle/badges/downloads.svg)](https://anaconda.org/bfxcss/pyntacle)
        - **Docker Hub**: https://hub.docker.com/r/mazzalab/pyntacle
        - **Bug report**: https://github.com/mazzalab/pyntacle/issues
        - [![Anaconda-Server Badge](https://anaconda.org/bfxcss/pyntacle/badges/platforms.svg)](https://anaconda.org/bfxcss/pyntacle)
        
        
        ### Description
        Pyntacle answers the need for a unified software tool for the analysis of biological networks based on non-canonical 
        topological metrics. It exploits the power of parallel computing for efficiently calculating the critical properties 
        of networks at the local, meso, and global scales.
        
        
        ### CUDA support (experimental)
        
        Independently of the OS in use, if you need CUDA support, you must
        also install the CUDA toolkit by downloading and installing the Toolkit from the
        [_NVIDIA website_](https://developer.nvidia.com/cuda-toolkit).
        
        **NOTE** GPU-base processing is an **experimental** feature in the current version (1.2), and is not covered by the command-line interface. This is because of weird behaviors of Numba with some hardware configurations that we were not be able to describe and circumvent so far. Although currently accessible by APIs, the GPU feature will be stable in the release 2.0, when Pyntacle will have covered the possibility to manage huge matrices for which replacing fine-grained parallelism with GPU computing would make sense.
        
        
        ## License
        This work is licensed under a [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
        
Keywords: network,graph,systems biology,bioinformatics
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7,<3.8
Description-Content-Type: text/markdown
