The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services: In a way that insulates the user from technicalities of using web services API and creates a unified and easy-to-use interface to biological and medical web services.

Currently rbioapi fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt. With rbioapi, you do not need to have technical knowledge about web services API or learn how to work with a new package for every biologic service or database. This an ongoing project; New databases and services will be added periodically. Feel free to suggest any databases or services you often use.

Published Paper

• Free Access link

• Moosa Rezwani, Ali Akbar Pourfathollah, Farshid Noorbakhsh, rbioapi: user-friendly R interface to biologic web services’ API, Bioinformatics, Volume 38, Issue 10, 15 May 2022, Pages 2952–2953, https://doi.org/10.1093/bioinformatics/btac172

Documentation website

• rbioapi.moosa-r.com

• The package rbioapi has an extensive Documentation website. Here you can find detailed vignette articles, function manuals, and other content meant to assist users in getting started and efficiently utilize rbioapi into their research.

Other links

• GitHub repository

• CRAN stable release

Tutorials and Vignette Articles:

• Get Started

• Over-Representation (Enrichment) Analysis in R, with rbioapi

• Enrichr & rbioapi

• JASPAR & rbioapi

• miEEA & rbioapi

• PANTHER & rbioapi

• Reactome & rbioapi

• STRING & rbioapi

• UniProt & rbioapi

• Function Manuals