Gene expression informatics —it's all in your mine
Douglas E. Bassett Jr1, Michael B. Eisen2
& Mark S. Boguski3
1
Rosetta Inpharmatics, Kirkland, Washington 98034, USA.
2
Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
3
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA. boguski@ncbi.nlm.nih.gov
Technologies for whole−genome RNA expression studies are becoming
increasingly reliable and accessible. However, universal standards to make
the data more suitable for comparative analysis and for inter−operability
with other information resources have yet to emerge. Improved access to large
electronic data sets, reliable and consistent annotation and effective tools
for 'data mining' are critical. Analysis methods that exploit large data warehouses
of gene expression experiments will be necessary to realize the full potential
of this technology.
