GoMiner: a resource for biological interpretation of genomic and proteomic data
National Institutes of Health · National Cancer Institute · +3 more institutions
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.
Citation impact
- FWCI
- 38.60
- Percentile
- 100%
- References
- 14
Authors
14- BRBarry R. ZeebèrgCorresponding
National Institutes of Health, National Cancer Institute
- WFWeimin Feng
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering
- GWGeoffrey Wang
Georgia Institute of Technology
- MDMay D. Wang
Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering
- ATAnthony T. Fojo
National Institutes of Health, National Cancer Institute
Topics & keywords
- Biology
- Directed acyclic graph
- Computational biology
- Gene ontology
- Interpretation (philosophy)
- Context (archaeology)
- Ontology
- Human genetics