R library for Bioactivity analysis

Bioconductor version: Development (3.0)

bioassayR provides tools for statistical analysis of small molecule bioactivity data

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Tyler Backman <tyler.backman at>

To install this package, start R and enter:


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


PDF R Script bioassayR Tutorial
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.3.2
In Bioconductor since BioC 2.13 (R-3.0)
License Artistic-2.0
Depends R (>= 3.1.0), DBI, RSQLite, methods, Matrix, rjson
Imports XML
Suggests BiocStyle, RCurl, ape, ChemmineR
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source bioassayR_1.3.2.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) bioassayR_1.3.2.tgz
Mac OS X 10.9 (Mavericks) bioassayR_1.3.2.tgz
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