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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sidhu, A.S. Dillon, T.S. Chang, E. |
| Copyright Year | 2006 |
| Description | Author affiliation: Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW (Sidhu, A.S.; Dillon, T.S.) |
| Abstract | Advances in proteomics and protein expression techniques have lead to the elucidation of large amounts of protein data. Various data mining algorithms and mathematical models provide methods for analyzing this data; however, there are two issues that need to be addressed: (1) the need for standards for defining protein data description and exchange formats so they can be exchanged across the World Wide Web, and also read into data mining software in a consistent format and (2) eliminating errors which arise with the data integration methodologies for complex queries. Protein ontology is designed to meet these needs by providing a structured protein data specification for protein data representation. Protein ontology is a standard for representing protein data in a way that helps in defining data integration and data mining models for protein structure and function. In this paper we summarize the structure of protein ontology we developed earlier, its current applications to various protein families, and its future development |
| Starting Page | 588 |
| Ending Page | 592 |
| File Size | 163885 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769525171 |
| ISSN | 10637125 |
| DOI | 10.1109/CBMS.2006.35 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontologies Data mining Protein engineering Proteomics Software algorithms Mathematical model Data analysis Algorithm design and analysis Software standards Web sites |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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