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The search tab may be used to:
  1. Query for and view annotations for genes or probe sets on microarrays;
  2. View the expression of your favorite gene or genes across all the chips conducted at Washington University;
  3. Find transcription factors whose sites are significantly over represented in your list of favorite genes (e.g. as determined by co-expression from a microarray experiment).
These are described in more detail as follows:
Gene Search
This search allows users to query genes of interest based on genomic identifiers such as GenBank, Entrez Gene, and UniGene. The user can perform two kinds of searches.
        Annotations
        This search allows users to query genes of interest based on genomic identifiers such as GenBank, Entrez Gene, and UniGene. The user can
        perform two kinds of searches.
        Expression
        This option allows the user to see the expression profile of his/her gene(s) of interest. The result of this search is a heat map viewer showing
         expression profile of all the genes of interest across all the samples for which expression data is available at the Biomedical Informatics Core.

Promoter Analysis Pipeline (PAP)
This search allows user to query for genes of interest and view statistically significant transcription factors binding sites that are conserved in evolution. A statistical model is established using the pre-calculated binding sites to compute the probability score of a particular transcription factor binding to the promoter of a particular gene. For a set of correlated genes, this search identifies high scoring transcription factors by the hypothesis that they may be regulated by the same transcription factors. PAP also predicts other genes in the genome, which may be regulated by the same transcription factors.
Home | Microarray Data | Search | Software | Publications | Collaborative Projects
The Biomedical Informatics Core is a cooperative effort between the Siteman Cancer Center,
the Nagarajan Lab in the Department of Pathology and Immunology, and the Washington University Neuroscience Blueprint Core.