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Biotech / Medical : AFFYMETRIX (AFFX) -- Ignore unavailable to you. Want to Upgrade?

To: Mike McFarland who wrote (925)	7/23/1999 11:18:00 PM
From: JF Quinnelly	Respond to of 1728

Rocketman used to work for INCY, he's a good source for insight on Incyte. If he's right, they are willing to suffer short term weakness for their long term goals. He has a lot of confidence in the company's management.

To: Mike McFarland who wrote (925)	7/24/1999 7:30:00 PM
From: Mike McFarland	Read Replies (2) \| Respond to of 1728

Microarray urls: 165.123.33.33 nhgri.nih.gov syntom.cit.cornell.edu industry.ebi.ac.uk ------------- Are any of the following questions good ones? Biotech companies need to do high-throughput screening of optimized lead compounds to see how they effect the target genes. They need to do comparisons of diseased and healthy tissue, and they also want to watch the interactions between proteins. These chips need to be sensitive to very small tissue samples right? Ideally you would want to watch things at the individual cellular level--no sense listening to the whole symphony if only the French Horn is out of tune--intracellular signaling might be the jargon. Okay, how 'bout some help here. Ah, just remembered, there was an article at Biospace.com, "The Matrix" that is one to read again. Shoot, I cant remember too much about why I thought Gene Logic's "Flow-Thru" chip was so great--surely Affy has chips just as good or better? I remember they were reusable, and very sensitive...but what does sensitive mean? One transcript? What sort of sensitivity does affy claim? Another question--these genomic, pharmacogenetic, bioinformatic, proteomics etc etc oriented companies... they are all pounding out software that needs to handle many terabytes of data right? That is what you keep reading--how does gene expression analysis generate so much data--these chips are built to target hundreds of genes, then you sift through hundreds of thousands (millions?) of lead compounds. How does that generate terabytes of data? Proteomics I understand, lotsa protiens. But in genomics, not a lot of genes really.