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Updated: Aug 29, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
Development of gene ontology tool for biological interpretation of genomic and proteomic data
Weimin Feng1, Geoffrey Wang, Barry R Zeeberg
1The Wallace H Coulter Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta GA 30332-0535, USA.
Abstract:
We have designed and developed a Gene Ontology based navigation tool, GoMiner, which organizes lists of interesting genes from a microarray or a protein array experiment for biological interpretation. It provides quantitative and statistical output files and useful visualization (e.g., a tree-like structure) to map the list of genes to its biological functional categories. It also provides links to other resources such as pubmed, locuslink, and biological molecular interaction map and signaling pathway packages.
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