Plant & Animal Genome VI Conference

P10

LARGE SCALE GENE EXPRESSION ANALYSIS: A PRACTICAL APPROACH

1. George Mason University, MSN 5C3, Fairfax, Va 22030-4444
2. Genome Dynamics, PO Box 2168, Germantown, MD 20875
3. Laboratory fo Neurophysiology, NINDS/NIH, 36/2C02, Bethesda, MD 20892

Now that the cDNA and genomic sequencing projects are progressing at such a rapid rate, high throughput gene expression screening approaches are beginning to appear to take advantage of the sequencing and EST data. We present a strategy for the analysis for large-scale quantitative gene expression (mRNA) measurement data from time course experiments. Our technical approach takes advantage of high through-put automated RT/PCR methods for mRNA quantitation. The gene expression data analysis makes uses of clustering graphical visualization methods to reveal correlated patterns of gene expression from time series data. The coherence of these patterns suggests an order that conforms to a notion of shared pathways and control processes that can be experimentally verified.