2. Designing High-Performance Concurrent Strategies for Biological Sequence Alignment Problems on Networked Computing Platforms

  1. El-Ghazali Talbi2 and
  2. Albert Y. Zomaya3
  1. Bharadwaj Veeravalli

Published Online: 30 APR 2007

DOI: 10.1002/9780470191637.ch2

Grid Computing for Bioinformatics and Computational Biology

Grid Computing for Bioinformatics and Computational Biology

How to Cite

Veeravalli, B. (2007) Designing High-Performance Concurrent Strategies for Biological Sequence Alignment Problems on Networked Computing Platforms, in Grid Computing for Bioinformatics and Computational Biology (eds E.-G. Talbi and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470191637.ch2

Editor Information

  1. 2

    LIFL, University of Lille, INRIA, CNRS, Lille, France

  2. 3

    School of Information Technology, University of Sydney, Sydney, Australia

Author Information

  1. Department of Electrical & Computer Engineering, The National University of Singapore, Singapore

Publication History

  1. Published Online: 30 APR 2007
  2. Published Print: 3 DEC 2007

ISBN Information

Print ISBN: 9780471784098

Online ISBN: 9780470191637

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Keywords:

  • sequence-matching algorithm;
  • delay-sensitive networks;
  • divisible load-scheduling paradigm and network topologies

Summary

This chapter contains sections titled:

  • Introduction

  • Sequence Matching on Bus Networks

  • Multiple Sequence Matching on Mesh Topology

  • Concluding Remarks

  • Acknowledgments

  • Bibliographic Notes

  • References