Metadata-Version: 2.1
Name: openomics
Version: 0.8.6
Summary: OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.
Home-page: https://github.com/BioMeCIS-Lab/OpenOmics
Author: Jonny Tran
Author-email: nhat.tran@mavs.uta.edu
License: MIT license
Description: =========
        OpenOmics
        =========
        
        .. image:: https://github.com/BioMeCIS-Lab/OpenOmics/raw/master/openomics_web/assets/openomics_logo.png
        
        .. image:: https://img.shields.io/pypi/v/OpenOmics.svg
                :target: https://pypi.python.org/pypi/OpenOmics
        
        .. image:: https://img.shields.io/travis/BioMeCIS-Lab/OpenOmics.svg
                :target: https://travis-ci.org/BioMeCIS-Lab/OpenOmics
        
        .. image:: https://codecov.io/gh/BioMeCIS-Lab/OpenOmics/branch/master/graph/badge.svg
                :target: https://codecov.io/gh/BioMeCIS-Lab/OpenOmics
        
        .. image:: https://readthedocs.org/projects/openomics/badge/?version=latest
                :target: https://openomics.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/BioMeCIS-Lab/OpenOmics/shield.svg
             :target: https://pyup.io/repos/github/BioMeCIS-Lab/OpenOmics/
             :alt: Updates
        
        
        OpenOmics provides a bioinformatics API and web-app platform integrate, analyze, and visualize the multi-omics and clinical data.
        
        
        * Free software: MIT license
        * Documentation: https://openomics.readthedocs.io.
        
        
        Features
        --------
        
        * Provides a bioinformatics workflow to generate integrative results from multi-omics data.
        * Facilitates integration of various bio-databases, multi-omics expression, genomics, and clinical data.
        * Highly flexible to different data types and missing data.
        * Provides researchers with means to consistently store and explore their experimental datasets.
        * Enables scalable performance with parallel computing, while easily configurable to deploy on both single machine and a cluster.
        * Usable by both developers and scientists with its intuitive Python API and web-app dashboard interface (WIP).
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `pyOpenSci/cookiecutter-pyopensci`_ project template, based off `audreyr/cookiecutter-pypackage`_.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`pyOpenSci/cookiecutter-pyopensci`: https://github.com/pyOpenSci/cookiecutter-pyopensci
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.8.5 (Pending)
        _______________
        * Build web-app dashboard interface for importing user multiomics data files
        
        
        0.8.4 (2020-01-07)
        ------------------
        * Replace Pandas Dataframe with Dask DataFrame for parallel processings
        
        
        0.7.2 (2019-09-01)
        ------------------
        
        * Added compatibility for Python 2.7
        * Refactored ClinicalData
        * Built working documentations with Sphinx on readthedocs
        * Added pytests for MultiOmicsData
        * First successful build on Travis CI on Python 3.4-3.7, 2.7
        
        
        0.6.0 (2019-08-31)
        ------------------
        
        * First release on PyPI.
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/markdown
