OpenOmics

OpenOmics: A bioinformatics API to integrate multi-omics datasets and interface with public databases. - Published in JOSS (2021)

https://github.com/JonnyTran/OpenOmics

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    3 of 14 committers (21.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.5%) to scientific vocabulary

Keywords

data-integration data-manipulation genomics multi-omics python

Keywords from Contributors

dice-roller board-game dice dice-notation haskell perl roleplaying-games rpg-dice-roller ttrpg bioinformatics

Scientific Fields

Mathematics Computer Science - 84% confidence
Sociology Social Sciences - 64% confidence
Biology Life Sciences - 63% confidence
Last synced: 4 months ago · JSON representation ·

Repository

A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.

Basic Info
Statistics
  • Stars: 33
  • Watchers: 4
  • Forks: 11
  • Open Issues: 23
  • Releases: 4
Topics
data-integration data-manipulation genomics multi-omics python
Created almost 8 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

PyPI version Documentation Status OpenOmics codecov openomics

pyOpenSci status DOI

OpenOmics is currently under active development and we may break API compatibility in the future.

This Python package provide a series of tools to integrate and explore the genomics, transcriptomics, proteomics, and clinical data (aka multi-omics data). With interfaces to popular annotation databases and 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

Features

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: - Genomics, Transcriptomics, Proteomics, and Clinical data. - Harmonization with 20+ popular annotation, interaction, disease-association databases.

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:

  • Providing a standard pipeline for dataset indexing, table joining and querying, which are transparent and customizable for end-users.
  • Providing Efficient disk storage for large multi-omics dataset with Parquet data structures.
  • Integrating various data types including interactions and sequence data, then exporting to NetworkX graphs or data generators for down-stream machine learning.
  • Accessible by both developers and scientists with a Python API that works seamlessly with an external Galaxy tool interface or the built-in Dash web interface (WIP).

Installation:

PyPI

console pip install openomics

Conda

sh conda install openomics -c jonnytran # Work in progress

From source

sh git clone https://github.com/JonnyTran/OpenOmics/ cd OpenOmics pip install -e .

Citations

The journal paper for this scientific package was reviewed by JOSS at https://joss.theoj.org/papers/10.21105/joss.03249#, and can be cited with:

# BibTeX
@article{Tran2021,
  doi = {10.21105/joss.03249},
  url = {https://doi.org/10.21105/joss.03249},
  year = {2021},
  publisher = {The Open Journal},
  volume = {6},
  number = {61},
  pages = {3249},
  author = {Nhat C. Tran and Jean X. Gao},
  title = {OpenOmics: A bioinformatics API to integrate multi-omics datasets and interface with public databases.},
  journal = {Journal of Open Source Software}
}

Credits

Thank you for extremely helpful feedback and guidance from the pyOpenSci reviewers. This package was created with the pyOpenSci/cookiecutter-pyopensci project template, based off audreyr/cookiecutter-pypackage.

Owner

  • Name: Nhat (Jonny) Tran
  • Login: JonnyTran
  • Kind: user

Graph neural networks, bioinformatics, and ML engineering for all things NLP, RNA/protein sequence learning, and knowledge graphs. Work GH: @JTran-IDM

Citation (CITATION.cff)

---
cff-version: 1.2.0
message: "Please cite our paper if you use this code in your own work."
title: "OpenOmics: A bioinformatics API to integrate multi-omics datasets and interface with public databases.  [Computer software]"
authors:
- family-names: "Tran"
  given-names: "Nhat C."
- family-names: "Gao"
  given-names: "Jean X."
date-released: 2021-05-06
license: cc-by-4.0
url: "https://joss.theoj.org/papers/10.21105/joss.03249#"

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 4 months ago

All Time
  • Total Commits: 2,002
  • Total Committers: 14
  • Avg Commits per committer: 143.0
  • Development Distribution Score (DDS): 0.49
Past Year
  • Commits: 5
  • Committers: 2
  • Avg Commits per committer: 2.5
  • Development Distribution Score (DDS): 0.2
Top Committers
Name Email Commits
Jonny Tran n****n@m****u 1,022
JonnyTran J****n@g****m 704
JonnyTran j****n@g****m 123
JonnyTran D****9 77
pyup-bot g****t@p****o 22
Nhat (Jonny) Tran 4****n 18
deepsource-autofix[bot] 6****] 12
sdhutchins s****s@u****u 10
snyk-bot s****t@s****o 6
Shaurita Hutchins m****s@g****m 2
t-silvers s****s@m****e 2
Arfon Smith a****n 2
Steve Moss g****l@g****m 1
DeepSource Bot b****t@d****o 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 16
  • Total pull requests: 115
  • Average time to close issues: 6 days
  • Average time to close pull requests: 8 days
  • Total issue authors: 8
  • Total pull request authors: 8
  • Average comments per issue: 2.81
  • Average comments per pull request: 0.06
  • Merged pull requests: 26
  • Bot issues: 0
  • Bot pull requests: 51
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • JonnyTran (6)
  • ksielemann (3)
  • sdhutchins (1)
  • pyup-bot (1)
  • jamesbraza (1)
  • Rana-Sabrii (1)
  • piyushm27 (1)
  • gawbul (1)
Pull Request Authors
  • deepsource-autofix[bot] (51)
  • JonnyTran (38)
  • pyup-bot (27)
  • sdhutchins (2)
  • gawbul (2)
  • snyk-bot (2)
  • arfon (1)
  • t-silvers (1)
Top Labels
Issue Labels
pyopensci-review (6) help wanted (2) enhancement (1) doc (1)
Pull Request Labels
doc (13)

Dependencies

requirements.txt pypi
  • astropy *
  • biopython *
  • bioservices *
  • bokeh *
  • dash *
  • dash-bootstrap-components *
  • dash-daq *
  • dask *
  • filetype *
  • goatools *
  • gtfparse *
  • gunicorn *
  • h5py *
  • itsdangerous *
  • matplotlib *
  • networkx *
  • numpy *
  • obonet *
  • pandas *
  • rarfile *
  • scipy *
  • six *
  • sqlalchemy *
  • typing *
  • validators *
.github/workflows/python-package.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1 composite
docs/requirements.txt pypi
  • Sphinx *
  • bumpversion *
  • coverage *
  • flake8 *
  • furo *
  • graphviz *
  • myst-parser *
  • pip *
  • pytest >=7.0.0
  • pytest-cov *
  • pytest-runner *
  • ruamel.yaml *
  • sphinx-autobuild *
  • sphinx-automodapi *
  • sphinx-copybutton *
  • sphinx-inline-tabs *
  • sphinx_autodoc_typehints *
  • tornado >=6.3.3
  • tox *
  • tqdm *
  • twine *
  • watchdog *
  • wheel *
pyproject.toml pypi
setup.py pypi