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Bioinformatics: Principles and Applications

By: Material type: TextTextPublication details: New Delhi Tata McGraw-Hill 2005Description: xiii, 217 pages : illustrations ; 25 cmISBN:
  • 9780070583207
Subject(s): DDC classification:
  • 570.285HAR-B
Summary: This book is about those fundamental tools and techniques that revolutionized biomedical research, and enable us today to perform biology in silico. The book uses an integrative approach to illustrate the use of these tools, and binds them together to create a coherent strategy to tackle the overwhelming problem of biological information overload. the book covers the core set of tools that have become indispensable to scientific discovery in the post-genome era, and also demonstrates how these tools can be integrated programmatically with BioPerl to be used in an enhanced, truly high throughput- biology on steroids- manner.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.285 HAR-B (Browse shelf(Opens below)) Available DCB74
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.285 HAR-B (Browse shelf(Opens below)) Available DCB1644
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.285 HAR-B (Browse shelf(Opens below)) Available DCB1639

This book is about those fundamental tools and techniques that revolutionized biomedical research, and enable us today to perform biology in silico. The book uses an integrative approach to illustrate the use of these tools, and binds them together to create a coherent strategy to tackle the overwhelming problem of biological information overload. the book covers the core set of tools that have become indispensable to scientific discovery in the post-genome era, and also demonstrates how these tools can be integrated programmatically with BioPerl to be used in an enhanced, truly high throughput- biology on steroids- manner.

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