openSESAME (Search of Expression Signatures Across Many Experiments) is a tool for using patterns of gene expression to discover relationships between experimental conditions, diseases, or biological states. openSESAME is unique in that it identifies connections between datasets based on expression patterns alone, without the need for prior knowledge of experimental groups or phenotypes.

This web server is an interface to allow the scientific community to perform openSESAME queries using a repository of over 75,000 Affymetrix human gene expression profiles obtained from the Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI). A gene expression signature (sets of genes that are expected to be coordinately induced or repressed) is used as input. openSESAME will then return a list of datasets in which these genes are coordinately differentially expressed, as well as plots (heat maps) of the expression of the signature genes in these datasets. A more detailed description of how to perform and interpret an openSESAME query is available after logging in.

openSESAME is a collaboration between the Pulmonomics laboratory in the Division of Computational Biomedicine at the Boston University School of Medicine and Boston University's Clinical and Translational Science Institute (CTSI). This site was developed by the Medical Information Systems Unit (MISU) at Boston Medical Center.

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