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

Genome biology · 2003 · Vol. 4(4) · pp. R28–R28

Barry R. Zeebèrg✉(National Cancer Institute)Weimin Feng(The Wallace H. Coulter Department of Biomedical Engineering)Geoffrey Wang(Georgia Institute of Technology)May D. Wang(Georgia Institute of Technology)Anthony T. Fojo(National Institutes of Health)Margot Sunshine(SRA International (United States))Sudarshan Narasimhan(SRA International (United States))David W. Kane(SRA International (United States))William C. Reinhold(National Cancer Institute)Samir Lababidi(National Institutes of Health)Kimberly J. Bussey(National Cancer Institute)Joseph Riss(National Cancer Institute)J. Carl Barrett(National Cancer Institute)John N. Weinstein(National Institutes of Health)

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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.

Bioinformatics and Genomic Networks Gene expression and cancer classification Biomedical Text Mining and OntologiesBiologyDirected acyclic graphComputational biologyGene ontologyInterpretation (philosophy)Context (archaeology)OntologyHuman geneticsGeneR package

MeSH terms

Computer GraphicsData Interpretation, StatisticalHumansSoftwareSoftware DesignOligonucleotide Array Sequence AnalysisGene Expression ProfilingGenomicsDatabases, GeneticProteomics