Integrating whole-genome expression results into metabolic networks with Pathway Processor.
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.
Cavalieri
Duccio
D
Bauer Center for Genomics Research, Harvard University, Cambridge, Massachusetts, USA.
Grosu
Paul
P
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D003198:Computer Simulation; D003628:Database Management Systems; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface