To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Rcpi")

In most cases, you don't need to download the package archive at all.

Rcpi

Toolkit for Compound-Protein Interaction in Drug Discovery

Bioconductor version: 2.14

The Rcpi package offers an R/Bioconductor package emphasizing the comprehensive integration of bioinformatics and chemoinformatics into a molecular informatics platform for drug discovery.

Author: Nan Xiao <road2stat at gmail.com>, Dongsheng Cao <oriental-cds at 163.com>, Qingsong Xu <dasongxu at gmail.com>

Maintainer: Nan Xiao <road2stat at gmail.com>

Citation (from within R, enter citation("Rcpi")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Rcpi")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Rcpi")

 

PDF R Script Rcpi Quick Reference Card
PDF R Script Rcpi: R/Bioconductor Package as an Integrated Informatics Platform in Drug Discovery
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews BiomedicalInformatics, Cheminformatics, DataImport, DataRepresentation, FeatureExtraction, GO, GraphAndNetwork, Proteomics, Software, SystemsBiology
Version 1.0.2
In Bioconductor since BioC 2.14 (R-3.1)
License Artistic-2.0
Depends
Imports RCurl, rjson, rcdk, foreach, doParallel, Biostrings, GOSemSim, ChemmineR, fmcsR
Suggests RUnit, BiocGenerics
System Requirements
URL https://github.com/road2stat/Rcpi
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source Rcpi_1.0.2.tar.gz
Windows Binary Rcpi_1.0.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) Rcpi_1.0.2.tgz
Mac OS X 10.9 (Mavericks) Rcpi_1.0.2.tgz
Browse/checkout source (username/password: readonly)
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