OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.
Project 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for openomics-0.8.6-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6cbc50e485ff87aab5ae120f88e3f0d55f09b362acd14ce30bc6917004890579 |
|
MD5 | 971fd46297c1f47a78e9cd2927c0d657 |
|
BLAKE2b-256 | 31938b57fff4a75bc94679bcb01b032987126ae65a502c7d7e4881c9127ff5ff |