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Identifying biological themes within lists of genes with EASE

  1. Author:
    Hosack, D. A.
    Dennis, G.
    Sherman, B. T.
    Lane, H. C.
    Lempicki, R. A.

  2. Author Address

    SAIC Frederick Inc, Lab Immunopathogenesis & Bioinformat, POB B, Frederick, MD 21702 USA SAIC Frederick Inc, Lab Immunopathogenesis & Bioinformat, Frederick, MD 21702 USA NIAID, Clin & Mol Retrovirol Sect, NIH, Bethesda, MD 20892 USA Lempicki RA SAIC Frederick Inc, Lab Immunopathogenesis & Bioinformat, POB B, Frederick, MD 21702 USA
    1. Year: 2003
  2. Journal: Genome Biology
    1. 4
    2. 10
    3. Pages: art. no.-R70
  4. Type of Article: Article
  1. Abstract:

    EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high- throughput genomic data. The biological themes returned by EASE recapitulate manually determined themes in previously published gene lists and are robust to varying methods of normalization, intensity calculation and statistical selection of genes. EASE is a powerful tool for rapidly converting the results of functional genomics studies from 'genes' to 'themes'.

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