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

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

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

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

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

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

author email corresponding author email

Genome Biology 2003, 4:R28doi:10.1186/gb-2003-4-4-r28


Published:	25 March 2003

Subject areas: Bioinformatics, Genome studies

Abstract

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.