Package: ChemmineR
Type: Package
Title: Cheminformatics Toolkit for R
Version: 3.36.0
Date: 2019-3-18
Author: Y. Eddie Cao, Kevin Horan, Tyler Backman, Thomas Girke
Maintainer: Thomas Girke <thomas.girke@ucr.edu>
Description: ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest version contains functions for efficient processing of large numbers of molecules, physicochemical/structural property predictions, structural similarity searching, classification and clustering of compound libraries with a wide spectrum of algorithms. In addition, it offers visualization functions for compound clustering results and chemical structures.
License: Artistic-2.0
Depends: R (>= 2.10.0), methods
biocViews: Cheminformatics, BiomedicalInformatics, Pharmacogenetics,
        Pharmacogenomics, MicrotitrePlateAssay, CellBasedAssays,
        Visualization, Infrastructure, DataImport, Clustering,
        Proteomics,Metabolomics
Imports: rjson, graphics, stats, RCurl, DBI, digest, BiocGenerics, Rcpp
        (>= 0.11.0), ggplot2,grid,gridExtra, png,base64enc,DT,rsvg
Suggests: RSQLite, scatterplot3d, gplots, fmcsR, snow, RPostgreSQL,
        BiocStyle, knitr, knitcitations, knitrBootstrap, ChemmineOB (>=
        1.16.1), ChemmineDrugs, png,rmarkdown, BiocManager
Enhances: ChemmineOB
URL: https://github.com/girke-lab/ChemmineR
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
SystemRequirements: GNU make
git_url: https://git.bioconductor.org/packages/ChemmineR
git_branch: RELEASE_3_9
git_last_commit: ce66605
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: yes
Packaged: 2019-05-03 01:54:57 UTC; biocbuild
Built: R 3.6.0; i386-w64-mingw32; 2019-05-03 13:01:32 UTC; windows
Archs: i386, x64
