Litcius/Paper detail

rbioapi: user-friendly R interface to biologic web services’ API

Moosa Rezwani, Ali Akbar Pourfathollah, Farshid Noorbakhsh

2022Bioinformatics33 citationsDOI

Abstract

SUMMARY: Many packages serve as an interface between R language and the Application Programming Interface (API) of databases and web services. There is usually a 'one-package to one-service' correspondence, which poses challenges such as consistency to the users and scalability to the developers. This, among other issues, has motivated us to develop a package as a framework to facilitate the implementation of API resources in the R language. This R package, rbioapi, is a consistent, user-friendly and scalable interface to biological and medical databases and web services. To date, rbioapi fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING and UniProt. We aim to expand this list by collaborations and contributions and gradually make rbioapi as comprehensive as possible. AVAILABILITY AND IMPLEMENTATION: rbioapi is deposited in CRAN under the https://cran.r-project.org/package=rbioapi address. The source code is publicly available in a GitHub repository at https://github.com/moosa-r/rbioapi/. Also, the documentation website is available at https://rbioapi.moosa-r.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

Computer scienceInterface (matter)DocumentationWorld Wide WebScalabilityWeb serviceJavaScriptApplication programming interfaceUser interfaceDatabaseSource codeUniProtWeb applicationProgramming languageOperating systemChemistryGeneBubbleMaximum bubble pressure methodBiochemistryCell Image Analysis TechniquesData Analysis with RScientific Computing and Data Management