Biological Database Modeling by Jake Chen, Amandeep S Sidhu

By Jake Chen, Amandeep S Sidhu

Sleek organic study in components like drug discovery produces a outstanding quantity of knowledge, and the precise modeling instruments may help scientists follow it in methods by no means earlier than that you can imagine. This number of next-generation biodata modeling strategies combines cutting edge thoughts, equipment, and purposes with case reviews in genome, microarray, proteomics, and drug discovery initiatives to aid bioinformatics execs improve ever-more strong information administration structures in any area. Breaking new floor on the intersection of lifestyles sciences and knowledge administration, the publication introduces practitioners to middle biodata modeling options, organic database assets, and ontology strategies. It explains the newest envelope-pushing equipment and software program functions for processing, integrating, and dealing with biodata.

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Liotta, “Promising Directions for the Diagnosis and Management of Gynecological Cancers,” Int. J. Gynaecol. , Vol. 83, Suppl. 1, 2003, pp. 203–209. [47] Sorace, J. , and M. A. Zhan, “Data Review and Re-Assessment of Ovarian Cancer Serum Proteomic Profiling,” BMC Bioinformatics, Vol. 4, No. 1, 2003, p. 24. , “Contribution of Proteomics to Tumor Immunology,” Proteomics, Vol. 1, No. 10, 2001, pp. 1295–1302. , “Proteomics of Bacterial Pathogens,” Adv. Biochem. Eng. , Vol. 83, 2003, pp. 93–115. , “Analysis of the Candida Albicans Proteome.

3, 2005, pp. 235–245. , “What It Takes to Get a Herbicide’s Mode of Action. Physionomics: A Classical Approach in a New Complexion,” Pest. Manag. , Vol. 61, No. 5, 2005, pp. 423–431. CHAPTER 3 Modeling Biomedical Data Ramez Elmasri, Feng Ji, and Jack Fu Biological data such as protein structure and function, DNA sequences, and metabolic pathways require conceptual modeling characteristics that are not available in traditional conceptual modeling, such as in the widely used entity-relationship (ER) model and its variant, the enhanced-ER (EER) model.

Chiu, “Proteomic Technology and Its Biomedical Applications,” Sheng. Wu. Hua. Xue. Yu. Sheng. Wu. Wu. Li. Xue. Bao. (Shanghai), Vol. 35, No. 11, 2003, pp. 965–975. [44] Lopez, M. , “Proteomic Databases: Roadmaps for Drug Discovery,” Am. Clin. , Vol. 17, No. 10, 1998, pp. 16–18. [45] Ni, X. , “Application of Proteomic Approach for Solid Tumor Marker Discovery,” Ai. , Vol. 22, No. 6, 2003, pp. 664–667. [46] Kohn, E. , G. B. Mills, and L. Liotta, “Promising Directions for the Diagnosis and Management of Gynecological Cancers,” Int.

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