title: Development of gene ontology tool for biological interpretation of genomic and proteomic data.
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.
authors.affiliation: The Wallace H Coulter Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta GA 30332-0535, USA.
authors.forename: Weimin
authors.initials: W
authors.lastname: Feng
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Wang
authors.forename: Barry R
authors.initials: BR
authors.lastname: Zeeberg
authors.forename: Kejiao
authors.initials: K
authors.lastname: Guo
authors.forename: Anthony T
authors.initials: AT
authors.lastname: Fojo
authors.forename: David W
authors.initials: DW
authors.lastname: Kane
authors.forename: William C
authors.initials: WC
authors.lastname: Reinhold
authors.forename: Samir
authors.initials: S
authors.lastname: Lababidi
authors.forename: John N
authors.initials: JN
authors.lastname: Weinstein
authors.forename: May D
authors.initials: MD
authors.lastname: Wang
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D005796:Genes; D023281:Genomics; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D040081:Protein Array Analysis; D040901:Proteomics