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

PAPi

Predict metabolic pathway activity based on metabolomics data

Bioconductor version: 2.13

The Pathway Activity Profiling - PAPi - is an R package for predicting the activity of metabolic pathways based solely on a metabolomics data set containing a list of metabolites identified and their respective abundances in different biological samples. PAPi generates hypothesis that improves the final biological interpretation. See Aggio, R.B.M; Ruggiero, K. and Villas-Boas, S.G. (2010) - Pathway Activity Profiling (PAPi): from metabolite profile to metabolic pathway activity. Bioinformatics.

Author: Raphael Aggio

Maintainer: Raphael Aggio <raphael.aggio at gmail.com>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("PAPi")

 

PDF	R Script	Applying PAPi
PDF		PAPi.pdf
PDF		Reference Manual

Details

biocViews	MassSpectrometry, Metabolomics, Software
Version	1.2.0
In Bioconductor since	BioC 2.12 (R-3.0)
License	GPL(>= 2)
Depends	R (>= 2.15.2), svDialogs, KEGGREST
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	PAPi_1.2.0.tar.gz
Windows Binary	PAPi_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	PAPi_1.2.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats