Package: ChemmineR
Type: Package
Title: Cheminformatics Toolkit for R
Version: 3.39.0
Date: 2019-7-24
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: master
git_last_commit: 2358785
git_last_commit_date: 2019-10-29
Date/Publication: 2019-12-16
NeedsCompilation: yes
Packaged: 2019-12-17 01:58:19 UTC; biocbuild
Built: R 4.0.0; x86_64-apple-darwin15.6.0; 2019-12-17 14:31:19 UTC; unix
