DOI: 10.18129/B9.bioc.Rcpi  

Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery

Bioconductor version: Release (3.17)

A molecular informatics toolkit with an 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>

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


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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


biocViews BiomedicalInformatics, Cheminformatics, DataImport, DataRepresentation, FeatureExtraction, GO, Proteomics, Software, SystemsBiology
Version 1.36.1
In Bioconductor since BioC 2.14 (R-3.1) (9.5 years)
License Artistic-2.0 | file LICENSE
Depends R (>= 3.0.2)
Imports Biostrings, GOSemSim, RCurl, doParallel, foreach, methods, rjson, rlang, stats, utils
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
URL https://nanx.me/Rcpi/ https://github.com/nanxstats/Rcpi
BugReports https://github.com/nanxstats/Rcpi/issues
Depends On Me
Imports Me proteasy
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package Rcpi_1.36.1.tar.gz
Windows Binary Rcpi_1.36.1.zip
macOS Binary (x86_64) Rcpi_1.36.1.tgz
macOS Binary (arm64) Rcpi_1.36.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rcpi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Rcpi
Bioc Package Browser https://code.bioconductor.org/browse/Rcpi/
Package Short Url https://bioconductor.org/packages/Rcpi/
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Old Source Packages for BioC 3.17 Source Archive

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