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Pathway Processor: A Tool for Integrating Whole-Genome Expression Results into Metabolic Networks

By Paul Grosu, Jeffrey P. Townsend, Daniel L. Hartl and Duccio Cavalieri

Abstract

We have developed a new tool to visualize expression data on metabolic pathways and to evaluate which metabolic pathways are most affected by transcriptional changes in whole-genome expression experiments. Using the Fisher Exact Test, the method scores biochemical pathways according to the probability that as many or more genes in a pathway would be significantly altered in a given experiment by chance alone. This method has been validated on diauxic shift experiments and reproduces well known effects of carbon source on yeast metabolism. The analysis is implemented with Pathway Analyzer, one of the tools of Pathway Processor, a new statistical package for the analysis of whole-genome expression data. Results from multiple experiments can be compared, reducing the analysis from the full set of individual genes to a limited number of pathways of interest. The pathways are visualized with OpenDX, an open-source visualization software package, and the relationship between genes in the pathways can be examined in detail using Expression Mapper, the second program of the package. This program features a graphical output displaying differences in expression on metabolic charts of the biochemical pathways to which the open reading frames are assigned. [Supplementary materials are available at http://www.cgr.harvard.edu/cavalieri/pp.html and http://www.genome.org.

Topics: Methods
Publisher: Cold Spring Harbor Laboratory Press
Year: 2002
DOI identifier: 10.1101/gr.226602
OAI identifier: oai:pubmedcentral.nih.gov:186628
Provided by: PubMed Central
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