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This article has not been peer reviewed.

Deposited research article

Identifying biological themes within lists of genes with EASE

Douglas A Hosack1, Glynn Dennis1, Brad T Sherman1, H Clifford Lane2 and Richard A Lempicki1*

Author Affiliations

1 Laboratory of Immunopathogenesis and Bioinformatics, PO Box B, SAIC-Frederick, Inc., Frederick, MD 21702, USA

2 Clinical and Molecular Retrovirology Section, Bldg 10, Room 11S-231, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA

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Genome Biology 2003, 4:P4  doi:10.1186/gb-2003-4-6-p4


This is the first version of this article to be made available publicly. A peer-reviewed and modified version is now available in full at http://genomebiology.com/2003/4/10/R70

Published: 25 April 2003

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."