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Graph Data Management in Scientific Applications

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  1. Angles R, Gutierrez C. Survey of graph database models. ACM Comput Surv. 2008;40(1):1–39.

    Article  Google Scholar 

  2. De P, Singh AE, Wong T, Yacoub W, Jolly AM. Sexual network analysis of a gonorrhoea outbreak. Sex Transm Infect. 2004;80(4):280–5.

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  3. Eckman BA, Brown PG. Graph data management for molecular and cell biology. IBM J Res Dev. 2006;50(6):545–60.

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  4. Ellis G. Managing large databases of complex medical knowledge using conceptual graphs. In: Proceedings of the National Health Informatics Conference; 1993. p. 4–13.

    Google Scholar 

  5. Gaedke U. A comparison of whole-community and ecosystem approaches (biomass size distributions, food web analysis, network analysis, simulation models) to study the structure, function and regulation of pelagic food webs. J Plankton Res. 1995;17(6):1273–305.

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  6. Hattori M, Okuno Y, Goto S, Kanehisa M. Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. J Am Chem Soc. 2003;125(39):11853–65.

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  7. He H, Singh AK. GraphRank: statistical modeling and mining of significant subgraphs in the feature space. In: Proceedings of the 22nd International Conference on Data Mining; 2006. p. 885–90.

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  8. Kelley BP, Yuan B, Lewitter F, Sharan R, Stockwell BR, Ideker T. PathBLAST: a tool for alignment of protein interaction networks. Nucleic Acids Res. 2004;32(web server issue):W83–88.

    Article  Google Scholar 

  9. Kunii HS. DBMS with graph data model for knowledge handling. In: Proceedings of the Fall Joint Computer Conference on Exploring Technology: Today and Tomorrow; 1987. p. 138–42.

    Google Scholar 

  10. Leser U. A query language for biological networks. Bioinformatics. 2005;21(Suppl 2):ii33–9.

    Article  Google Scholar 

  11. Sharan R, Suthram S, Kelley RM, Kuhn T, McCuine S, Uetz P, Sittler T, Karp RM, Ideker T. Conserved patterns of protein interaction in multiple species. Proc Natl Acad Sci U S A. 2005;102(6):1974–9.

    Article  Google Scholar 

  12. Wale N, Karypis G. Acyclic subgraph-based descriptor spaces for chemical compound retrieval and classification. UMN CSE Technical Report #06-008, 2006.

    Google Scholar 

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Correspondence to Amarnath Gupta .

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Gupta, A. (2018). Graph Data Management in Scientific Applications. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1298

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