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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
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Cross-target analysis of small molecule bioactivity
Bioconductor version: Release (3.5)
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 |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bioinformatics, CellBasedAssays, DataImport, Infrastructure, Metabolomics, MicrotitrePlateAssay, Proteomics, Software, Visualization |
| Version | 1.14.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (4 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, knitrBootstrap, testthat, ggplot2, rmarkdown |
| 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.
| Source Package | bioassayR_1.14.0.tar.gz |
| Windows Binary | bioassayR_1.14.0.zip |
| Mac OS X 10.11 (El Capitan) | bioassayR_1.14.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/bioassayR |
| Package Short Url | http://bioconductor.org/packages/bioassayR/ |
| Package Downloads Report | Download Stats |
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