GObar: a gene ontology based analysis and visualization tool for gene sets

Lee, J. S. M., Katari, G., Sachidanandam, R. (2005) GObar: a gene ontology based analysis and visualization tool for gene sets. BMC Bioinformatics, 6. p. 189. ISSN 1471-2105 (Electronic)

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DOI: 10.1186/1471-2105-6-189


BACKGROUND: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such sets of genes is, usually, not readily apparent.Identification of the functions of the genes in the set can help highlight features of interest. The Gene Ontology Consortium 1 has annotated genes in several model organisms using a controlled vocabulary of terms and placed the terms on a Gene Ontology (GO), which comprises three disjoint hierarchies for Molecular functions, Biological processes and Cellular locations. The annotations can be used to identify functions that are enriched in the set, but this analysis can be misleading since the underlying distribution of genes among various functions is not uniform. For example, a large number of genes in a set might be kinases just because the genome contains many kinases. RESULTS: We use the Gene Ontology hierarchy and the annotations to pick significant functions and pathways by comparing the distribution of functions in a given gene list against the distribution of all the genes in the genome, using the hypergeometric distribution to assign probabilities. GObar is a web-based visualizer that implements this algorithm.The public website for GObar 2 can analyse gene lists from the yeast (S. cervisiae), fly (D. Melanogaster), mouse (M. musculus) and human (H. sapiens) genomes. It also allows visualization of the GO tree, as well as placement of a single gene on the GO hierarchy. We analyse a gene list from a genomic study of pre-mRNA splicing to demonstrate the utility of GObar. CONCLUSION: GObar is freely available as a web-based tool at http://katahdin.cshl.org:9331/GO2 and can help analyze and visualize gene lists from genomic analyses.

Item Type: Paper
Uncontrolled Keywords: Algorithms Animals Data Collection Data Display Databases Genetic Drosophila melanogaster Gene Expression Profiling methods Humans Information Storage and Retrieval Internet Mice Models Statistical Oligonucleotide Array Sequence Analysis methods Probability Protein Splicing Software User-Computer Interface GO
Subjects: organism description > animal > insect > Drosophila
organism description > yeast > Saccharomyces
bioinformatics > computational biology
bioinformatics > genomics and proteomics > computers > computer software
CSHL Authors:
Depositing User: CSHL Librarian
Date: 2005
Date Deposited: 09 Jan 2012 19:25
Last Modified: 09 Jan 2012 19:25
URI: https://repository.cshl.edu/id/eprint/22629

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