Knowledge-Based Bioinformatics: From Analysis to Interpretation

Knowledge-Based Bioinformatics: From Analysis to Interpretation

Editor(s): Gil Alterovitz, Marco Ramoni

Published Online: 7 JUL 2010

Print ISBN: 9780470748312

Online ISBN: 9780470669716

DOI: 10.1002/9780470669716

About this Book

There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine.

Key Features:

  • Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.
  • Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions.
  • Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics.
  • Written by leading international experts in this field.

Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.

Table of contents

    1. You have free access to this content
  1. Part I: Fundamentals - Section 1: Knowledge-Driven Approaches

    1. Chapter 3

      Technologies and Best Practices for Building Bio-Ontologies (pages 67–86)

      Mikel Egãna Aranguren, Robert Stevens, Erick Antezana, Jesualdo Tomás Fernández-Breis, Martin Kuiper and Vladimir Mironov

  2. Part I: Fundamentals - Section 2: Data-Analysis Approaches

  3. Part II: Applications - Section 3: Gene and Protein Information

    1. Chapter 8

      Fundamentals of Gene Ontology Functional Annotation (pages 169–208)

      Varsha K. Khodiyar, Emily C. Dimmer, Rachael P. Huntley and Ruth C. Lovering

  4. Part II: Applications - Section 4: Biomolecular Relationships and Meta-Relationships

    1. Chapter 11

      Molecular Network Analysis and Applications (pages 251–287)

      Minlu Zhang, Jingyuan Deng, Chunsheng V. Fang, Xiao Zhang and Long Jason Lu

    1. You have free access to this content
    1. You have free access to this content