Grid Computing for Bioinformatics and Computational Biology

Grid Computing for Bioinformatics and Computational Biology

Editor(s): El-Ghazali Talbi, Albert Y. Zomaya

Published Online: 30 APR 2007

Print ISBN: 9780471784098

Online ISBN: 9780470191637

DOI: 10.1002/9780470191637

About this Book

The only single, up-to-date source for Grid issues in bioinformatics and biology

Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores software frameworks that integrate bioinformatics and computational biology.

Additional coverage includes:

Bio-ontology and data mining

Data visualization

DNA assembly, clustering, and mapping

Molecular evolution and phylogeny

Gene expression and micro-arrays

Molecular modeling and simulation

Sequence search and alignment

Protein structure prediction

Grid infrastructure, middleware, and tools for bio data

Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing.

Table of contents

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

      Open Computing Grid for Molecular Sciences (pages 1–21)

      Mathilde Romberg, Emilio Benfenati and Werner Dubitzky

    3. Chapter 3

      Optimized Cluster-Enabled HMMER Searches (pages 51–70)

      John Paul Walters, Joseph Landman and Vipin Chaudhary

    4. Chapter 8

      Molecular Docking Using Grid Computing (pages 179–198)

      Alexandru-Adrian Tantar, Nouredine Melab and El-Ghazali Talbi

    5. Chapter 9

      Deployment of Grid Life Sciences Applications (pages 199–223)

      Vincent Breton, Nicolas Jacq, Vinod Kasam and Jean Salzemann

    6. Chapter 12

      A Semantic Mediation Architecture for a Clinical Data Grid (pages 267–299)

      Kai Kumpf, Alexander Wöhrer, Siegfried Benkner, G. Engelbrecht and Jochen Fingberg

    7. Chapter 14

      Recent Advances in Solving the Protein Threading Problem (pages 325–356)

      Rumen Andonov, Guillaume Collet, J.-F. Gibrat, A. Marin, Vincent Poirriez and N. Yanev

    8. Chapter 16

      Seeing Is Knowing: Visualization of Parameter–Parameter Dependencies in Biomedical Network Models (pages 375–387)

      Akihiki Konagaya, Ryuzo Azuma, Ryo Umetsu, Shingo Ohki, Fumikazu Konishi, Kazum Matsumura and Sumi Yoshikawa

    9. You have free access to this content
    10. You have free access to this content