otargen
is an innovative, open-source R package for easy data retrieval and analysis from Open Target Genetics. It brings simplicity and power to your R environment, enhancing your research with advanced data handling and visualization tools.
π Effortless Data Retrieval: Access comprehensive GraphQL query types with user-friendly functions, transforming complex queries into tidy, analysis-ready data tables.
π Insightful Visualizations: Deploy intuitive plotting functions for a clear view of complex datasets, uncovering hidden patterns and insights.
π Comprehensive Documentation: Each function is thoroughly documented, ensuring a smooth integration into your workflow and a clear understanding of the results.
π¨βπ» Regular Updates: Stay abreast of the latest in Open Target Genetics with our commitment to continuous improvement and feature expansion.
For Python users, weβre excited to announce that a Python version of our package is now available! :snake: :rocket:
Check out the repository here: otargenpy on GitHub
This version brings the capabilities of otargen
to the Python community, We encourage you to try it out and provide feedback!
Join the otargen
community on GitHub and contribute to its growth. We welcome bug reports, feature suggestions, and code contributions.
Get started with otargen
from CRAN:
Or install the latest development version from GitHub:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("https://github.com/amirfeizi/otargen.git")
If you use otargen
in your research, please cite our work. Published in 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.