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OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.
Readme
This Python package provide a series of tools to integrate and query the genomics, transcriptomics, proteomics, and clinical data (aka multi-omics data). With scalable data-frame manipulation tools, OpenOmics facilitates the common data wrangling tasks when preparing data for RNA-seq bioinformatics analysis.
Documentation (Latest | Stable) | OpenOmics at a glance
OpenOmics assist in integration of heterogeneous multi-omics bioinformatics data. The library provides a Python API as well as an interactive Dash web interface. It features support for:
OpenOmics also has an efficient data pipeline that bridges the popular data manipulation Pandas library and Dask distributed processing to address the following use cases:
$ pip install openomics
The journal paper for this scientific package is currently being reviewed. In the meanwhile, the current package version can be cited with:
# BibTeX
@software{nhat_jonny_tran_2021_4552831,
author = {Nhat Tran and
Jean Gao},
title = {{BioMeCIS-Lab/OpenOmics: Bug fixes from pyOpenSci
Reviewer 2}},
month = feb,
year = 2021,
publisher = {Zenodo},
version = {v0.8.5},
doi = {10.5281/zenodo.4552831},
url = {https://doi.org/10.5281/zenodo.4552831}
}
This package was created with Cookiecutter and the pyOpenSci/cookiecutter-pyopensci project template, based off audreyr/cookiecutter-pypackage.
FAQs
OpenOmics provides a bioinformatics API and web-app platform integrate and visualize the multiomics and clinical data.
We found that openomics demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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