PAPi

Predict metabolic pathway activity based on metabolomics data

Bioconductor version: Release (2.14)

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("PAPi")

Documentation

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

Details

biocViews MassSpectrometry, Metabolomics, Software
Version 1.4.0
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 Downloads

Package Source PAPi_1.4.0.tar.gz
Windows Binary PAPi_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PAPi_1.4.0.tgz
Mac OS X 10.9 (Mavericks)
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