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PAPi (version 1.12.0)

Predict metabolic pathway activity based on metabolomics data

Description

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.

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Version

Version

1.12.0

License

GPL(>= 2)

Maintainer

Raphael Aggio

Last Published

February 15th, 2017

Functions in PAPi (1.12.0)

buildDatabase

Build a local database containing the required information from KEGG (Kyoto Encyclopedia of Genes and Genomes) database.
papiHtest

PAPi-package

Pathway Activity Profiling
papiResults

papi

papi - Pathway Activity Profiling
metabolomicsData

addKeggCodes

In a data frame, it substitutes the name of compounds by their respective KEGG codes.
keggLibrary

An example of the library mapping name of compounds to their respective KEGG codes.
papiLine

papiData