Development of gene ontology tool for biological interpretation of genomic and proteomic data.
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.
Feng
Weimin
W
The Wallace H Coulter Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta GA 30332-0535, USA.
Wang
Geoffrey
G
Zeeberg
Barry R
BR
Guo
Kejiao
K
Fojo
Anthony T
AT
Kane
David W
DW
Reinhold
William C
WC
Lababidi
Samir
S
Weinstein
John N
JN
Wang
May D
MD
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