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This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see bioassayR.

Cross-target analysis of small molecule bioactivity

Bioconductor version: 3.2

Despite a large and rapidly growing body of small molecule bioactivity data, systematic leverage of these data as a reference for identifying compounds with a desired bioactivity, and assessing the drugability of protein targets are limited by informatics challenges stemming from the large data volume, heterogenous experimental designs, sparseness, and noise. This tool addresses these issues to enable simultaneous analysis of thousands of bioassay experiments performed over a diverse and sparse set of compounds and biological targets.

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Tyler Backman <tyler.backman at>

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biocViews Bioinformatics, CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.8.37
In Bioconductor since BioC 2.13 (R-3.0) (2.5 years)
License Artistic-2.0
Depends R (>= 3.1.0), 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, RefManageR, testthat, ggplot2
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