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Description

Access Open Target Genetics.

Interact seamlessly with Open Target Genetics' GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of genetic data. For more information about the Open Target Genetics API(<https://genetics.opentargets.org/api>).

CRAN_Status_Badge Downloads

Streamline Tidy Data Access to Open Target Genetics GraphQL API🔍

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.

Key Features

🚀 Effortless Data Retrieval: Access comprehensive GraphQL query types with user-friendly functions, transforming complex queries into tidy, analysis-ready data tables.

📈 Insightful Visualizations: Deploy intuitive plotting functions for a clear view of complex datasets, uncovering hidden patterns and insights.

📖 Comprehensive Documentation: Each function is thoroughly documented, ensuring a smooth integration into your workflow and a clear understanding of the results.

👨‍💻 Regular Updates: Stay abreast of the latest in Open Target Genetics with our commitment to continuous improvement and feature expansion.

Announcement :loudspeaker:

For Python users, we're 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!

Community and Contributions

Join the otargen community on GitHub and contribute to its growth. We welcome bug reports, feature suggestions, and code contributions.

Installation

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")

Citing otargen

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.
Metadata

Version

1.1.1

License

Unknown

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