bcnQL: a query language for biochemical networks.
This paper proposes a graph data model that can represent information present in Biochemical Networks. The study presented in this paper also proposes a query language, called bcnQL, which empowers users to query entities, interactions, processes and pathways with arbitrary conditions. We then discuss the query-processing techniques, more specifically, the translation of bcnQL queries into G-algebra and a set of algebraic operators on graph objects. Some query examples are presented to demonstrate the applicability of the language for this specific domain. Finally, we provide details of a prototype implementation for the query language.
Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA. hyang9@student.gsu.edu
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Yang
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Sunderraman
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Tian
D001669:Biochemical Phenomena; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D011381:Programming Languages; D014584:User-Computer Interface