Package: ChemmineR
Type: Package
Title: Cheminformatics Toolkit for R
Version: 3.34.1
Date: 2018-11-14
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_8
git_last_commit: a8b1e28
git_last_commit_date: 2018-11-14
Date/Publication: 2018-11-15
NeedsCompilation: yes
Packaged: 2018-11-16 00:04:20 UTC; biocbuild
Built: R 3.5.1; x86_64-apple-darwin13.4.0; 2018-12-09 04:08:01 UTC; unix
