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Journal home Advance online publication Current issue Archive Press releases Free Association (blog) Supplements Focuses Guide to authors Online submission For referees Free online issue Contact the journal Subscribe Advertising work@npg Reprints and permissions About this site For librarians   NPG Resources Nature Nature Biotechnology Nature Cell Biology Nature Medicine Nature Methods Nature Reviews Cancer Nature Reviews Genetics Nature Reviews Molecular Cell Biology news@nature.com Nature Conferences RNAi Gateway NPG Subject areas Biotechnology Cancer Chemistry Clinical Medicine Dentistry Development Drug Discovery Earth Sciences Evolution & Ecology Genetics Immunology Materials Science Medical Research Microbiology Molecular Cell Biology Neuroscience Pharmacology Physics Browse all publications Perspective Nature Genetics  32, 469 - 473 (2002) doi:10.1038/ng1028 Microarray databases: standards and ontologies Christian J. Stoeckert Jr1, Helen C. Causton2 & Catherine A. Ball3 1  Center for Bioinformatics and Department of Genetics, University of Pennsylvania, 423 Guardian Drive, Philadelphia, Pennsylvania 19104-6021, USA. 2  Clinical Sciences Centre/Imperial College Microarray Centre, Imperial College, Hammersmith Campus, Du Cane Road, London W12 ONN, UK. 3  Department of Genetics, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305-5120, USA. Correspondence should be addressed to Christian J. Stoeckert Jr stoeckert@pcbi.upenn.eduA 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. MORE ARTICLES LIKE THIS These links to content published by NPG are automatically generated REVIEWS Guidelines: Expression profiling — best practices for data generation and interpretation in clinical trials Nature Reviews Genetics Perspective (01 Mar 2004) From microarray data to results EMBO reports Review (23 Apr 2004)  See all 6 matches for Reviews NEWS AND VIEWS Reversing Babel with GO Nature Genetics News and Views (01 Jul 2002) RESEARCH The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data Nature Biotechnology Research (01 Feb 2004) A systematic approach to modeling, capturing, and disseminating proteomics experimental data Nature Biotechnology Research (01 Mar 2003)  See all 4 matches for Research  Top Abstract Previous | Next Table of contents Full text Download PDF Send to a friend Save this link Open Innovation Challenges More Challenges Powered by: nature jobs One Postdoctoral Position at Centre for Research in Agricultural Genomics The Centre for Research Agricultural Genomics Consorcio CSIC-IRTA-UAB Barcelona Spain Manager for the Recently Established Fly Facility Max-Planck-Institute of Immunobiology Freiburg Germany More science jobs Post a job for free Figures & Tables Export citation Search buyers guide:   ADVERTISEMENT

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