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| Title: | Determining domain similarity and domain-protein similarity using functional similarity measurements of gene ontology terms | |
| Author (s): | Guntly, Lisa Michelle Leopold, Jennifer Maglia, Anne | |
| Department/Lab Affiliations: | Biological Sciences Computer Science | |
| Keywords: | Gene Ontology domain protein | |
| Issue Date: | 2007-10 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | "Determining Domain Similarity and Domain-Protein Similarity Using Functional Similarity Measurements of Gene Ontology Terms." Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering, (2007). | |
| Abstract: | Protein domains typically correspond to major functional sites of a protein. Therefore, determining similarity between domains can aid in the comparison of protein functions, and can provide a basis for grouping domains based on function. One strategy for comparing domain similarity and domain-protein similarity is to use similarity measurements of annotation terms from the Gene Ontology (GO). In this paper five methods are analyzed in terms of their usefulness for comparing domains, and comparing domains to proteins based on GO terms. | |
| Type: | Article - Journal text | |
| In Title: | Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Determining domain similarity and domain-protein similarity using functional similarity measurements of gene ontology terms | |
| contributor.author | Guntly, Lisa Michelle | |
| contributor.author | Leopold, Jennifer | |
| contributor.author | Maglia, Anne | |
| contributor.deptlab | Biological Sciences | |
| contributor.deptlab | Computer Science | |
| subject | Gene Ontology | |
| subject | domain | |
| subject | protein | |
| date.issued | 2007-10 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | "Determining Domain Similarity and Domain-Protein Similarity Using Functional Similarity Measurements of Gene Ontology Terms." Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering, (2007). | |
| identifier.pub.URI | ||
| description.abstract | Protein domains typically correspond to major functional sites of a protein. Therefore, determining similarity between domains can aid in the comparison of protein functions, and can provide a basis for grouping domains based on function. One strategy for comparing domain similarity and domain-protein similarity is to use similarity measurements of annotation terms from the Gene Ontology (GO). In this paper five methods are analyzed in terms of their usefulness for comparing domains, and comparing domains to proteins based on GO terms. | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| relation.isPartOf | Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering | |
| date.accessioned | 2008-04-08T18:57:56Z | |
| date.available | 2008-04-08T18:57:58Z | |
| identifier.persist.URI | ||
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