Rcpi

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Rcpi")

Documentation

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

Details

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)
LinkingTo
Suggests	knitr, rmarkdown, RUnit, BiocGenerics
SystemRequirements
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
Build Report

Package Archives

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

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/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive