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Emerging trends in computational biology, bioinformatics, and systems biology : algorithms and software tools / edited by Quoc Nam Tran, Hamid Arabnia.

By: Contributor(s): Material type: TextTextPublication details: Waltham, MA : Elsevier : Morgan Kaufman, c2015Description: xxxvi, 633 pages : illustrationsISBN:
  • 9780128025086
  • 0128025085
Subject(s): DDC classification:
  • 572.802 TRA.E
Summary: This book discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simulation techniques. It addresses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems; presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications; provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book IUCEIB Library, University of Kerala General Stacks IUCEIB Library, University of Kerala 572.802 TRA.E (Browse shelf(Opens below)) Available CEB380

Includes bibliographical references and index.

This book discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simulation techniques. It addresses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems; presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications; provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

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