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GoMiner: a resource for biological interpretation of genomic and proteomic data

Barry R Zeeberg1, Weimin Feng2, Geoffrey Wang3, May D Wang2, Anthony T Fojo1, Margot Sunshine4, Sudarshan Narasimhan4, David W Kane4, William C Reinhold1, Samir Lababidi1, Kimberly J Bussey1, Joseph Riss5, J Carl Barrett5 and John N Weinstein1*

Author Affiliations

1 Genomics and Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA

2 The Wallace H. Coulter Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta, GA 30332-0535, USA

3 Computer Science and Chemistry Departments, Georgia Institute of Technology, Atlanta, GA 30332, USA

4 SRA International, 4300 Fair Lakes CT, Fairfax, VA 22033, USA

5 Laboratory of Biosystems and Cancer, National Cancer Institute, Bethesda, MD 20892, USA

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Genome Biology 2003, 4:R28  doi:10.1186/gb-2003-4-4-r28

Published: 25 March 2003


We have developed GoMiner, a program package that organizes lists of 'interesting' genes (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. GoMiner provides quantitative and statistical output files and two useful visualizations. The first is a tree-like structure analogous to that in the AmiGO browser and the second is a compact, dynamically interactive 'directed acyclic graph'. Genes displayed in GoMiner are linked to major public bioinformatics resources.