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. 2009 Jul;37(Web Server issue):W345-9.
doi: 10.1093/nar/gkp463. Epub 2009 Jun 2.

G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery

Zhidian Du  1 , Lin Li, Chin-Fu Chen, Philip S Yu, James Z Wang
Affiliations

G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery

Zhidian Du et al. Nucleic Acids Res. 2009 Jul.

Abstract

We have developed a set of online tools for measuring the semantic similarities of Gene Ontology (GO) terms and the functional similarities of gene products, and for further discovering biomedical knowledge from the GO database. The tools have been used for about 6.9 million times by 417 institutions from 43 countries since October 2006. The online tools are available at: http://bioinformatics.clemson.edu/G-SESAME.

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Figures

Figure 1.
Figure 1.
Output of semantic comparison of two GO terms, GO:0005739 and GO:0005777.
Figure 2.
Figure 2.
DAGs of GO:0005739 and GO:0005777.
Figure 3.
Figure 3.
Output of comparison of two sets of GO terms. One set contains GO:0005739 and GO:0005777; the other one set contains GO:0005739, GO:0005777 and GO:0005737.
Figure 4.
Figure 4.
Output of measuring the semantic similarity of two genes, adh1 and adh4, from two different species.
Figure 5.
Figure 5.
Interface of the gene clustering tool.
Figure 6.
Figure 6.
Semantic similarity table of genes in tryptophan degradation pathway obtained by Resnik's method.
Figure 7.
Figure 7.
Clustering results of genes in tryptophan degradation pathway based on Resnik's method.
See this image and copyright information in PMC

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References

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