Software
GoMiner: a resource for biological interpretation of genomic and proteomic data
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* Corresponding author: John N Weinstein weinstein@dtpax2.ncifcrf.gov
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
Genome Biology 2003, 4:R28 doi:10.1186/gb-2003-4-4-r28
Published: 25 March 2003Abstract
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.