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OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.

Project description

OpenOmics Documentation Status Updates

OpenOmics provides a bioinformatics API and web-app platform integrate, analyze, and visualize the multi-omics and clinical data.


  • 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.


This package was created with Cookiecutter and the pyOpenSci/cookiecutter-pyopensci project template, based off audreyr/cookiecutter-pypackage.


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.

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