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PMID: 12702209 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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

Genome biology ·Vol. 4 ·No. 4 ·2003-00-00 ·Pages R28

Zeeberg BR, Feng W, Wang G, Wang MD, Fojo AT, Sunshine M, Narasimhan S, Kane DW, Reinhold WC, Lababidi S, Bussey KJ, Riss J, Barrett JC, Weinstein JN

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.

MeSH Terms
Computer Graphics Data Interpretation, Statistical Databases, Genetic Gene Expression Profiling Genomics Humans Oligonucleotide Array Sequence Analysis Proteomics Software Software Design
Authors & Affiliations
14 authors, click to expand affiliations / ORCID
Zeeberg Barry R
Genomics and Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Feng Weimin
Wang Geoffrey
Wang May D
Fojo Anthony T
Sunshine Margot
Narasimhan Sudarshan
Kane David W
Reinhold William C
Lababidi Samir
Bussey Kimberly J
Riss Joseph
Barrett J Carl
Weinstein John N
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8 references, click to expand
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
DOI
10.1186/gb-2003-4-4-r28
Published
2003-00-00
Epub
2003-00-25
Pages
R28
Language
English
Region
England
NLM ID
100960660
PMCID
PMC154579
Subset
IM
External Links
PubMed source DOI: 10.1186/gb-2003-4-4-r28 PMC Full Text View journal details
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