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

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          Abstract

          GoMiner, a program package that organizes lists of 'interesting' genes for biological interpretation in the context of the Gene Ontology, has been developed.

          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.

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          Most cited references 10

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          Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

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            Categorical Data Analysis

             Alan Agresti (2002)
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              A Survey of Exact Inference for Contingency Tables

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                Author and article information

                Journal
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1465-6906
                1465-6914
                2003
                25 March 2003
                : 4
                : 4
                : R28
                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
                Correspondence: John N Weinstein. E-mail: weinstein@dtpax2.ncifcrf.gov
                Article
                gb-2003-4-4-r28
                10.1186/gb-2003-4-4-r28
                154579
                12702209
                Copyright © 2003 Zeeberg et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
                Categories
                Software

                Genetics

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