DOI: 10.18129/B9.bioc.bioassayR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see bioassayR.

Cross-target analysis of small molecule bioactivity

Bioconductor version: 3.16

bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Daniela Cassol <danicassol at>

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


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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



HTML R Script bioassayR Introduction and Examples
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, CellBasedAssays, DataImport, ImmunoOncology, Infrastructure, Metabolomics, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.36.0
In Bioconductor since BioC 2.13 (R-3.0) (9.5 years)
License Artistic-2.0
Depends R (>= 3.5.0), DBI (>= 0.3.1), RSQLite (>= 1.0.0), methods, Matrix, rjson, BiocGenerics(>= 0.13.8)
Imports XML, ChemmineR
Suggests BiocStyle, RCurl, biomaRt, cellHTS2, knitr, knitcitations, knitrBootstrap, testthat, ggplot2, rmarkdown
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package bioassayR_1.36.0.tar.gz
Windows Binary
macOS Binary (x86_64) bioassayR_1.36.0.tgz
macOS Binary (arm64) bioassayR_1.36.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: