Biological database modeling / Jake Chen, Amandeep S. Sidhu, editors.

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781596932593
1596932597

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Biological database modeling.DDC classification:

572.80285 22

LOC classification:

QH324.2 .B559 2008eb

NLM classification:

2009 L-392
QU 26.5

Online resources:

Click here to access online

Contents:

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].

Abstract: 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 applications with case studies in genome, microarray, proteomics, and drug discovery projects that helps bioinformatics professionals develop ever-more powerful data management systems in any domain. Publisher abstract.

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Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references and index.

Print version record.

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 applications with case studies in genome, microarray, proteomics, and drug discovery projects that helps bioinformatics professionals develop ever-more powerful data management systems in any domain. Publisher abstract.

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