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Ontologies and controlled vocabularies are being established by many groups to provide roadmaps through the confused mass of data currently being generated from increasingly large-scale experimental biological experiments. The world of protein chemistry is no exception to this rule, with protein ontology (PO) having lead the field by providing a framework in which individual molecules and complexes...
The goal of this paper is to survey existing biomedical ontologies and their developments in 2007. This paper discusses features of biomedical ontologies that allow true information integration in biomedical domain. The paper is compilation of several biomedical ontologies like gene ontology, protein ontology, etc. that have developed serving primarily the purposes of information extraction from on-line...
Biomedical knowledge of proteomics domain is represented in the protein ontology, whose instantiations, which are undergoing evolution, need a good management and maintenance system. Protein ontology instantiations signify information about proteins that is shared and has evolved to reflect development in protein ontology project and proteomics domain itself. In this paper we explore the development...
Protein ontology is designed to provide 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 paper we summarize the development of PO that we discussed in previous chapters. A large number of diverse bioinformatics...
Recent progress in proteomics, computational biology, and ontology development has presented an opportunity to investigate protein data sources from a unique perspective that is, examining protein data sources through structure and hierarchy of protein ontology (PO). Various data mining algorithms and mathematical models provide methods for analyzing protein data sources; however, there are two issues...
Biomedical ontologies are huge. It is not possible for any one person to manage and engineer a complete ontology. They would need the help of research assistants and other people to develop and maintain the ontology. In the process of developing and maintaining the ontology the research assistants may enter incorrect data, resulting in low quality of the ontology. In this paper we will propose a conceptual...
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...
Accelerating availability of protein sequences and structures has transformed both the theory and practice of computational biology. The current systems of nomenclature for proteins remain divergent even when the experts appreciate the underlying similarities. Interoperability of protein databases is limited to lack of progress in the way the biologists describe and conceptualize the shared biological...
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