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otargen is an open-source R package for easy data
retrieval and analysis from Open Target Genetics. It
brings simplicity in scale to analsye human genetic evidances for
gene-trait/diseases associations from R environment, enhancing your
research with advanced data handling and visualization tools.
:loudspeaker: otargenpy is available for python users
:snake: pip install otargenpy
Check out the repository here: otargenpy on GitHub.
otargenpy has all the capabilities of otargen,
We encourage you to try it out and provide us with feedback!
🚀 Effortless Data Retrieval: Easily access and transform complex GraphQL queries.
📈 Insightful Visualizations: Clearly visualize complex datasets with intuitive plots.
📖 Comprehensive Documentation: Well-documented functions for easy integration.
👨💻 Regular Updates: Stay updated with new features and improvements.
Get started with otargen from CRAN:
install.packages("otargen")Or install the latest development version from GitHub:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("https://github.com/amirfeizi/otargen.git")Please cite otargen if you use it in your research. Bioinformatics.
Feizi, Amir, and Kamalika Ray. "otargen: GraphQL-based R package for tidy data accessing and processing from Open Targets Genetics." Bioinformatics 39.8 (2023): btad441.Join the otargen community on GitHub and contribute to
its growth. We welcome bug reports, feature suggestions, and code
contributions.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.