To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("bioassayR")

In most cases, you don't need to download the package archive at all.

bioassayR

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see bioassayR.

Cross-target analysis of small molecule bioactivity

Bioconductor version: 3.4

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: Tyler Backman <tbackman at lbl.gov>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("bioassayR")

Documentation

HTML R Script Introduction and Examples
PDF   Reference Manual
Text   NEWS

Details

biocViews Bioinformatics, CellBasedAssays, DataImport, Infrastructure, Metabolomics, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.12.1
In Bioconductor since BioC 2.13 (R-3.0) (3.5 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
LinkingTo
Suggests BiocStyle, RCurl, biomaRt, cellHTS2, knitr, knitcitations, RefManageR, testthat, ggplot2
SystemRequirements
Enhances
URL https://github.com/TylerBackman/bioassayR
BugReports https://github.com/TylerBackman/bioassayR/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source bioassayR_1.12.1.tar.gz
Windows Binary bioassayR_1.12.1.zip
Mac OS X 10.9 (Mavericks) bioassayR_1.12.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/bioassayR/tree/release-3.4
Package Short Url http://bioconductor.org/packages/bioassayR/
Package Downloads Report Download Stats

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