Package: bioassayR
Type: Package
Title: Cross-target analysis of small molecule bioactivity
Version: 1.20.1
Date: 2017-4-8
Author: Tyler Backman, Ronly Schlenk, Thomas Girke
Maintainer: Tyler Backman <tbackman@lbl.gov>
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,
        knitrBootstrap, testthat, ggplot2, rmarkdown
Description: 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.
URL: https://github.com/TylerBackman/bioassayR
BugReports: https://github.com/TylerBackman/bioassayR/issues
License: Artistic-2.0
biocViews: ImmunoOncology, MicrotitrePlateAssay, CellBasedAssays,
        Visualization, Infrastructure, DataImport, Bioinformatics,
        Proteomics, Metabolomics
LazyLoad: yes
Collate: AllClasses.R AllGenerics.R BioassayDB-accessors.R
        bioassay-accessors.R loadingData.R queries.R
        bioassaySet-accessors.R bayesian-cross-reactivity.R
        similarity.R
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/bioassayR
git_branch: RELEASE_3_8
git_last_commit: 022717e
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 02:52:31 UTC; biocbuild
Built: R 3.5.2; ; 2019-01-05 11:40:59 UTC; windows
