cellbaseR

This is the released version of cellbaseR; for the devel version, see cellbaseR.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

Querying annotation data from the high performance Cellbase web

Bioconductor version: Release (3.23)

This R package makes use of the exhaustive RESTful Web service API that has been implemented for the Cellabase database. It enable researchers to query and obtain a wealth of biological information from a single database saving a lot of time. Another benefit is that researchers can easily make queries about different biological topics and link all this information together as all information is integrated.

Author: Mohammed OE Abdallah

Maintainer: Mohammed OE Abdallah <melsiddieg at gmail.com>

Citation (from within R, enter citation("cellbaseR")):

Mohammed OE Abdallah. cellbaseR: Querying annotation data from the high performance Cellbase web. doi:10.18129/B9.bioc.cellbaseR, R package version 1.36.0, https://bioconductor.org/packages/cellbaseR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cellbaseR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellbaseR")

"Simplifying Genomic Annotations in R"	HTML	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Annotation, Software, VariantAnnotation
Version	1.36.0
In Bioconductor since	BioC 3.5 (R-3.4) (9.5 years)
License	Apache License (== 2.0)
Depends	R (>= 3.4)
Imports	methods, jsonlite, httr, data.table, pbapply, tidyr, R.utils, Rsamtools, BiocParallel, foreach, utils, parallel, doParallel
System Requirements
URL	https://github.com/melsiddieg/cellbaseR

Suggests	BiocStyle, knitr, rmarkdown, Gviz, VariantAnnotation
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	cellbaseR_1.36.0.tar.gz
Windows Binary (x86_64)	cellbaseR_1.36.0.zip (64-bit only)
macOS Binary (big-sur-x86_64)	cellbaseR_1.36.0.tgz
macOS Binary (sonoma-arm64)	cellbaseR_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cellbaseR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/cellbaseR
Package Short Url	https://bioconductor.org/packages/cellbaseR/
Package Downloads Report	Download Stats