G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery
Open Access
- 2 June 2009
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 37 (Web erver), W345-W349
- https://doi.org/10.1093/nar/gkp463
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.Keywords
This publication has 6 references indexed in Scilit:
- A new method to measure the semantic similarity of GO termsBioinformatics, 2007
- Correlation between Gene Expression and GO Semantic SimilarityIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2005
- A graph-theoretic modeling on GO space for biological interpretation of gene clustersBioinformatics, 2004
- Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotationBioinformatics, 2003
- Gene Ontology: tool for the unification of biologyNature Genetics, 2000
- Integrating functional genomic information into the Saccharomyces Genome DatabaseNucleic Acids Research, 2000