Unit

UNIT 7.6 Integrating Whole-Genome Expression Results into Metabolic Networks with Pathway Processor

  1. Duccio Cavalieri,
  2. Paul Grosu

Published Online: 1 MAY 2004

DOI: 10.1002/0471250953.bi0706s05

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Cavalieri, D. and Grosu, P. 2004. Integrating Whole-Genome Expression Results into Metabolic Networks with Pathway Processor. Current Protocols in Bioinformatics. 5:7.6:7.6.1–7.6.19.

Author Information

  1. Bauer Center for Genomics Research, Harvard University, Cambridge, Massachusetts

Publication History

  1. Published Online: 1 MAY 2004
  2. Published Print: MAR 2004

This is not the most recent version of the article. View current version (1 MAR 2013)

Abstract

Genes never act alone in a biological system, but participate in a cascade of networks. As a result, analyzing microarray data from a pathway perspective leads to a new level of understanding the system. The authors' group has recently developed Pathway Processor (http://cgr.harvard.edu/cavalieri/pp.html), an automatic statistical method to determine which pathways are most affected by transcriptional changes and to map expression data from multiple whole-genome expression experiments on metabolic pathways. This unit presents applications of the Pathway Processor software.