Storage and retrieval of microarray data and open source microarray database software.
Microarray technology has been widely adopted by researchers who use both home-made microarrays and microarrays purchased from commercial vendors. Associated with the adoption of this technology has been a deluge of complex data, both from the microarrays themselves, and also in the form of associated meta data, such as gene annotation information, the properties and treatment of biological samples, and the data transformation and analysis steps taken downstream. In addition, standards for annotation and data exchange have been proposed, and are now being adopted by journals and funding agencies alike. The coupling of large quantities of complex data with extensive and complex standards require all but the most small-scale of microarray users to have access to a robust and scaleable database with various tools. In this review, we discuss some of the desirable properties of such a database, and look at the features of several freely available alternatives.
Department of Genetics, Stanford University Medical School, CA 94305-5120, USA. sherlock@genome.stanford.edu
Gavin
G
Sherlock
Catherine A
CA
Ball
D003628:Database Management Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D046228:Microarray Analysis / Q000379:methods*; D008954:Models, Biological