PAPi

DOI: 10.18129/B9.bioc.PAPi    

Predict metabolic pathway activity based on metabolomics data

Bioconductor version: Release (3.6)

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:

## try http:// if https:// URLs are not supported
source("https://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	1.18.0
In Bioconductor since	BioC 2.12 (R-3.0) (5 years)
License	GPL(>= 2)
Depends	R (>= 2.15.2), svDialogs, KEGGREST
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	PAPi_1.18.0.tar.gz
Windows Binary	PAPi_1.18.0.zip
Mac OS X 10.11 (El Capitan)	PAPi_1.18.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PAPi
Package Short Url	http://bioconductor.org/packages/PAPi/
Package Downloads Report	Download Stats