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Multiple biological sequence alignment : scoring functions, algorithms and applications / Ken Nguyen, Xuan Guo and Yi Pan.

By: Contributor(s): Material type: TextTextSeries: Wiley series on bioinformatics: computational techniques and engineeringPublication details: New Jersey : John Wiley & Sons, ©2016.Description: xiii, 225 p. illustrations ; 25 cmISBN:
  • 9781118229040
Subject(s): DDC classification:
  • 572.80285 23 N576
Contents:
1. Introduction -- 2. Protein/DNA/RNA Pairwise Sequence Alignment -- 3. Quantifying Sequence Alignments -- 4. Sequence Clustering -- 5. Multiple Sequences Alignment Algorithms -- 6. Phylogeny in Multiple Sequence Alignments -- 7. Multiple Sequence Alignment on High-Performance Computing Models -- 8. Sequence Analysis Services -- 9. Multiple Sequence for Next-Generation Sequences -- 10. Multiple Sequence Alignment for Variations Detection -- 11. Multiple Sequence Alignment for Structure Detection.
Summary: Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 572.80285 N576 (Browse shelf(Opens below)) Available 137393
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Protein/DNA/RNA Pairwise Sequence Alignment --
3. Quantifying Sequence Alignments --
4. Sequence Clustering --
5. Multiple Sequences Alignment Algorithms --
6. Phylogeny in Multiple Sequence Alignments --
7. Multiple Sequence Alignment on High-Performance Computing Models --
8. Sequence Analysis Services --
9. Multiple Sequence for Next-Generation Sequences --
10. Multiple Sequence Alignment for Variations Detection --
11. Multiple Sequence Alignment for Structure Detection.

Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search.

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