GeneSigDB - a curated database of gene expression signatures

The primary objective of most gene expression studies is the identification of one or more gene signatures; lists of genes whose transcriptional levels are uniquely associated with a specific biological phenotype. Whilst thousands of experimentally derived gene signatures are published, their potential value to the community is limited by their computational inaccessibility. Gene signatures are embedded in published article figures, tables or in supplementary materials, and are frequently presented using non-standard gene or probeset nomenclature. We present GeneSigDB (http:// compbio.dfci.harvard.edu/genesigdb) a manually curated database of gene expression signatures.

• Type: Journal
• Year: 2010
• Where: NAR
• Authors: Aedín C. Culhane, Thomas Schwarzl, Razvan Sultana, Kermshlise C. Picard, Shaita C. Picard, Tim H. Lu, Katherine R. Franklin, Simon J. French, Gerald Papenhausen, Mick Correll, John Quackenbush
• Keywords: Gene Expression, Gene Expression Studies, Gene Signatures, NAR 2010