OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.
Project description
OpenOmics
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. (Pending)
Usable by both developers and scientists with its intuitive Python API and web-app dashboard interface.
Credits
This package was created with Cookiecutter and the pyOpenSci/cookiecutter-pyopensci project template, based off audreyr/cookiecutter-pypackage.
History
0.8.0 (Pending)
Replace Pandas Dataframe with Dask DataFrame for parallel processings
Build web-app interface for importing user multiomics data files
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
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