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Biological database modeling /

Modern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applicati...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, Jake, Sidhu, Amandeep S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood, MA : Artech House, ©2008.
Colección:Artech House bioinformatics & biomedical imaging.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction to data modeling / Amandeep S. Sidhu, Jake Chen
  • Public biological database for -omics studies in medicine / Viroj Wiwanitkit
  • Modeling biomedical data / Ramez Elmasri, Feng Ji, and Jack Fu
  • Fundamentals of gene ontology / Viroj Wiwanitkit
  • Protein Ontology / Amandeep S. Sidhu, Tharam S. Dillon, and Elizabeth Chang
  • Information quality management challenges for high-throughput data / Cornelia Hedeler and Paolo Missier
  • Data management for fungal genomics: an experience report / Greg Butler [and others]
  • Microarray data management: an enterprise information approach / Wily A. Valdvia-Granda, Christopher Dwan
  • Data mangament in expression-based proteomics / Zhong Yan [and others]
  • Model-driven drug discovery: principles and practices / Karthik Raman, Yeturu Kalidas, and Nagasuma Chandra
  • Information mangament and interaction in high-throughput screening for drug discovery / Preeti Malik [and others].