Omics Analysis Tool Suite
Project description
PyIOmica (pyiomica)
This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets. PyIOmica extends MathIOmica usage to Python and implements new visualizations and computational tools for graph analyses. The documentation is available at Read the Docs: https://pyiomica.readthedocs.io/en/latest/
PyIOmica Installation Instructions
A. INSTALLATION
Pre-Installation Requirements
To install PyIOmica on any platform you need Python version 3.7 or higher
Installation Instructions
- To install the current release from PyPI (Python Package Index) use pip:
pip install pyiomica
Alternatively, you can install directly from github using:
pip install git+https://github.com/gmiaslab/pyiomica/
B. RUNNING PyIOmica
After installation you can run:
>>> from pyiomica import pyiomica
C. DOCUMENTATION
Documentation for PyIOmica is built-in and is available through the help() functionality in Python. Also the documentation is available at Read the Docs: https://pyiomica.readthedocs.io/en/latest/
D. ADDITIONAL INFORMATION
- PyIOmica is a multi-omics analysis framework distributed as a Python package that aims to assist in bioinformatics.
- The most current version of the package is maintained at https://github.com/gmiaslab/pyiomica
- News are distributed via twitter (@mathiomica)
E. LICENSING
PyIOmica is released under an MIT License. Please also consult the folder LICENSES distributed with PyIOmica regarding Licensing information for use of external associated content.
F. OTHER CONTACT INFORMATION
- G. Mias Lab (https://georgemias.org)
- e-mail: mathiomica@gmail.com
- twitter: @mathiomica
G. FUNDING
PyIOmica development and associated research were supported by the Translational Research Institute for Space Health through NASA Cooperative Agreement NNX16AO69A (Project Number T0412, PI: Mias). The content is solely the responsibility of the authors and does not necessarily represent the official views of the supporting funding agencies.
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