DOI: 10.18129/B9.bioc.Rcpi    

Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery

Bioconductor version: Release (3.6)

Rcpi offers a molecular informatics toolkit with a comprehensive integration of bioinformatics and chemoinformatics tools for drug discovery.

Author: Nan Xiao [aut, cre], Dong-Sheng Cao [aut], Qing-Song Xu [aut]

Maintainer: Nan Xiao <me at nanx.me>

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HTML R Script Rcpi: R/Bioconductor Package as an Integrated Informatics Platform for Drug Discovery
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biocViews BiomedicalInformatics, Cheminformatics, DataImport, DataRepresentation, FeatureExtraction, GO, Proteomics, Software, SystemsBiology
Version 1.14.1
In Bioconductor since BioC 2.14 (R-3.1) (4 years)
License Artistic-2.0
Depends R (>= 3.0.2)
Imports stats, utils, methods, RCurl, rjson, foreach, doParallel, Biostrings, GOSemSim, ChemmineR, fmcsR, rcdk (>= 3.3.8)
Suggests knitr, rmarkdown, RUnit, BiocGenerics
Enhances ChemmineOB
URL https://nanx.me/Rcpi/ https://github.com/road2stat/Rcpi
BugReports https://github.com/road2stat/Rcpi/issues
Depends On Me
Imports Me
Suggests Me
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Source Package Rcpi_1.14.1.tar.gz
Windows Binary Rcpi_1.14.1.zip
Mac OS X 10.11 (El Capitan) Rcpi_1.14.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rcpi
Package Short Url http://bioconductor.org/packages/Rcpi/
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Old Source Packages for BioC 3.6 Source Archive

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