PAPi
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 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
| R Script | Applying PAPi | |
| PAPi.pdf | ||
| Reference Manual |
Details
| 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 |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | PAPi_1.0.0.tar.gz |
| Windows Binary | PAPi_1.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | PAPi_1.0.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: webmaster@bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2013
