Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Highly Accessed Open Badges Software

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

For all author emails, please log on.

Genome Biology 2003, 4:R70  doi:10.1186/gb-2003-4-10-r70

A previous version of this manuscript was made available before peer review at

Published: 11 September 2003


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'.