I have a question about the managemt and investigation of microarray data. If the topic is too far out of band for the list then feel free to reply directly. On the other hand much of our investigative sequence analysis work on our cluster winds up supporting design of hybridization experiments so I would be surprised of others here aren't interested in managing microarray data. I've been using Affymetrix chips with products such as GeneSpring, SpotFire, R and BioConductor have been archiving data in BASE and am considering Iobian's GeneTraffic as a possible backend database for storage. Of course any database can handle the data though with microarray data its a common need for researchers to be able to check out data and compare genes from one experiment to genes in another (possible many) experiment. The comparisons typically require the employment of statistical methods so we have used R and BioConductor to cull out genes , perform some tests, and create gene lists to refine scope. The process is repeated. So if anyone has opinions on this process or what they have found to be particulalry effective I would like to hear about it. I can provide you with information Thanks Steve Pittard | http://catalina.bimcore.emory.edu (HOME PAGE) Emory University | wsp@emory.edu, wsp@bimcore.emory.edu (INTERNET) BIMCORE Support | 404 727 0038