Advances in protein ontology project
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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.
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Sidhu, Amandeep; Dillon, Tharam S.; Hussain, Farookh Khadeer; Chang, Elizabeth (2006)Recent progress in proteomics, computational biology, and ontology development has presented an opportunity to investigate protein data sources from unique perspective that is, examining protein data sources through ...
Sidhu, Amandeep; Dillon, Tharam S.; Chang, Elizabeth (2007)Two factors dominate current developments in structural bioinformatics, especially in protein informatics and related areas: (1) the amount of raw data is increasing, very rapidly; and (2) successful application of data ...
Sidhu, Amandeep; Dillon, Tharam S.; Sidhu, B.; Chang, Elizabeth (2006)Protein Ontology (PO) is a means of formalizing protein data and knowledge; protein ontology includes concepts or terms relevant to the domain, definitions of concepts, and defined relationships between the concepts. PO ...