Package: bioassayR
Type: Package
Title: Cross-target analysis of small molecule bioactivity
Version: 1.38.0
Date: 2021-12-04
Author: Tyler Backman, Ronly Schlenk, Thomas Girke
Maintainer: Daniela Cassol <danicassol@gmail.com>
Depends: R (>= 3.5.0), 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/girke-lab/bioassayR
BugReports: https://github.com/girke-lab/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_17
git_last_commit: 2cc9554
git_last_commit_date: 2023-04-25
Date/Publication: 2023-04-25
NeedsCompilation: no
Packaged: 2023-04-25 20:19:33 UTC; biocbuild
Built: R 4.3.0; ; 2023-07-07 18:43:53 UTC; unix
