14. Evolution of the Clustal Family of Multiple Sequence Alignment Programs

  1. Mourad Elloumi2 and
  2. Albert Y. Zomaya3
  1. Mohamed Radhouene Aniba and
  2. Julie Thompson

Published Online: 23 DEC 2010

DOI: 10.1002/9780470892107.ch14

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

How to Cite

Aniba, M. R. and Thompson, J. (2011) Evolution of the Clustal Family of Multiple Sequence Alignment Programs, in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (eds M. Elloumi and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470892107.ch14

Editor Information

  1. 2

    Unit of Technologies of Information and Communication (UTIC) and University of Tunis-El Manar, Tunisia

  2. 3

    School of Information Technologies, The University of Sydney, Australia

Author Information

  1. Institute of Genetics and Molecular and Cellular Biology, Illkirch, France

Publication History

  1. Published Online: 23 DEC 2010
  2. Published Print: 18 JAN 2011

ISBN Information

Print ISBN: 9780470505199

Online ISBN: 9780470892107

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Keywords:

  • evolution of clustal family of multiple sequence alignment programs - cornerstones of modern bioinformatics, protein sequence comparison or alignment;
  • ClustalW, risks of progressive multiple alignment - choice of inappropriate alignment parameters;
  • ClustalW and ClustalX, and high-quality, reliable multiple alignments - for real-world problems

Summary

This chapter contains sections titled:

  • Introduction

  • Clustal-ClustalV

  • ClustalW

  • ClustalX

  • ClustalW and ClustalX 2.0

  • DbClustal

  • Perspectives

  • References