Towards a proteomics meta-classification

In IEEE Fourth Symposium on Bioinformatics and Bioengineering, Taichung, Taiwan. IEEE Press. pp. 419–427 (2004)
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Abstract
that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins in terms of just one or two specific aspects. Thus SCOP (Structural Classification of Proteins) is described as classifying proteins on the basis of structural features; SWISSPROT annotates proteins on the basis of their structure and of parameters like post-translational modifications. Such data sources are connected to each other by pairwise term-to-term mappings. However, there are obstacles which stand in the way of combining them together to form a robust meta-classification of the needed sort. We discuss some formal ontological principles which should be taken into account within the existing datasources in order to make such a metaclassification possible, taking into account also the Gene Ontology (GO) and its application to the annotation of proteins.
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References found in this work BETA
The Role of Foundational Relations in the Alignment of Biomedical Ontologies.Barry Smith & Cornelius Rosse - 2004 - In M. Fieschi, E. Coiera & Y.-C. J. Li (eds.), Medinfo. IOS Press. pp. 444-448.

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Citations of this work BETA
Oncology Ontology in the NCI Thesaurus.Anand Kumar & Barry Smith - 2005 - Artificial Intelligence in Medicine:213-220.
Dependence Relationships Between Gene Ontology Terms Based on TIGR Gene Product Annotations.Anand Kumar, Barry Smith & Christian Borgelt - 2004 - Proceedings of the 3rd International Workshop on Computational Terminology 2004:31-38.

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