ReBIL Project

FuSSiMeG is being discontinued, may not be working properly. Please use our new tool ProteinOn.

FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products

 

Give two Uniprot proteins or two GO terms:   (e.g. the P42973 and O85465 proteins or the 0004650 and 0016798 GO terms)

            

          

           (See Bibliography below)

              


Note: For each protein we use their annotated GO terms in GOA. The similarity is computed on the fly.

Bibliography

  • F. Couto and M. Silva and P. Coutinho, Measuring Semantic Similarity between Gene Ontology Terms, DKE - Data & Knowledge Engineering, Elsevier Science, 61:1 (137-152), 2007.
  • F. Couto and M. Silva and P. Coutinho, Semantic Similarity over the Gene Ontology: Family Correlation and Selecting Disjunctive Ancestors, ACM CIKM - Conference in Information and Knowledge Management, October 2005
  • F. Couto and M. Silva and P. Coutinho, Implementation of a Functional Semantic Similarity Measure between Gene-Products, Department of Informatics, University of Lisbon, DI/FCUL TR 03--29, November, 2003
  • P. Lord and R. Stevens and A. Brass and C. Goble, Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation, Bioinformatics, 2003
  • P. Resnik, Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language, Journal of Artificial Intelligence Research, 1999
  • Lin, An information-heoretic definition of similarity, Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy, in 15th International Conference on Machine Learning, 1998
  • J. Jiang and D. Conrath, Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy, in 10th International Conference on Research on Computational Linguistics (ROCLING X), 1997