Journal
NEOPLASIA
Volume 9, Issue 2, Pages 166-180Publisher
ELSEVIER SCIENCE INC
DOI: 10.1593/neo.07112
Keywords
oncomine; cancer gene expression; microarrays; bioinformatics; differential expression
Categories
Funding
- NCI NIH HHS [U01 CA111275-01, 5P30 CA46592, U01 CA111275, P30 CA046592] Funding Source: Medline
- NIDA NIH HHS [U54 DA021519-01A1, U54 DA021519] Funding Source: Medline
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DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http:////www.oncomine.org.
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