Microarray databases: standards and ontologies.
A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no single study can be expected to mine each nugget of scientific information. As a consequence, the scale and complexity of microarray experiments require that computer software programs do much of the data processing, storage, visualization, analysis and transfer. The adoption of common standards and ontologies for the management and sharing of microarray data is essential and will provide immediate benefit to the research community.
Stoeckert
Christian J
CJ
Center for Bioinformatics and Department of Genetics, University of Pennsylvania, 423 Guardian Drive, Philadelphia, Pennsylvania 19104-6021, USA. stoeckert@pcbi.upenn.edu
Causton
Helen C
HC
Ball
Catherine A
CA
D003628:Database Management Systems; D030541:Databases, Genetic / Q000592:standards*; D001330:Electronic Data Processing; D020869:Gene Expression Profiling / Q000379:methods / Q000592:standards*; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods / Q000592:standards*; D011381:Programming Languages; D011786:Quality Control; D017422:Sequence Analysis, DNA; D012984:Software