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

Genome Biology - Tập 4 Số 4 - 2003
Barry R. Zeebèrg1, 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, John N. Weinstein1
1Genomics & Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, USA
2The Wallace H. Coulter Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta, USA
3Computer Science and Chemistry Departments, Georgia Institute of Technology, Atlanta, USA
4SRA International, Fairfax, USA
5Laboratory of Biosystems and Cancer, National Cancer Institute, Bethesda, USA

Tóm tắt

AbstractWe 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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