Predict metabolic pathway activity based on metabolomics data

Bioconductor version: Release (2.12)

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>

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


biocViews MassSpectrometry, Metabolomics, Software
Version 1.0.0
In Bioconductor since BioC 2.13 (R-2.18)
License GPL(>= 2)
Depends R (>= 2.15.2), svDialogs, KEGGREST
System Requirements
Depends On Me
Imports Me
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Package Source PAPi_1.0.0.tar.gz
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Mac OS X 10.6 (Snow Leopard) PAPi_1.0.0.tgz
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