Agricultural Microbes Genome 2 Conference

Session: Technology & Bioinformatics
S02_05.html

EXPLAINING GENE EXPRESSION CLUSTERS THROUGH INTEGRATION OF GENOME ANNOTATION AND MICROARRAY DATA

Rockefeller University

Gene expression studies elucidate potentially co-regulated genes. Sequence annotation of the corresponding clones and their gene products provides information to explain gene clusters with common patterns of gene expression. We evaluate clusters of co-expressed genes through gene ontology (GO) terms, metabolic pathway information, and genomic location of prokaryotic homologs. Putative operons, functional categories, and pathways that are implicated in a gene cluster are in turn evaluated for gene expression patterns of their corresponding genes. This bi-directional analysis using comparative genome annotations and gene expression data is a first step toward enabling users to evaluate the gene expression patterns of molecular sub-systems. We have prototyped the method as the Cluster Explorer module of the TANGO (Transcriptome Analysis of Genomes) system TANGO is integrated with the MAGPIE genome sequence annotation system.