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Computational genome analysis : an introduction / Richard C. Deonier, Simon Tavare and Michael S. Waterman.

By: Contributor(s): Publication details: New Delhi : Springer, 2005.Description: xx, 534 p. : illustrations (some color) ; 24 cmISBN:
  • 9788181287977
Subject(s): DDC classification:
  • 572.860285 23 D418
Contents:
1. Biology in a nutshell -- 2. Words -- 3. Word distributions and occurrences -- 4. Physical mapping of DNA -- 5. Genome rearrangements -- 6. Sequence alignment -- 7. Rapid alignment methods : FASTA and BLAST -- 8. DNA sequence assembly -- 9. Signals in DNA -- 10. Similarity, distance, and clustering -- 11. Measuring expression of genome information -- 12. Inferring the past : phylogenetic trees -- 13. Genetic variation in populations -- 14. Comparative genomics -- A. A brief introduction to R -- B. Internet bioinformatics resources-- Miscellaneous data-- References.
Summary: Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. This book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 572.860285 D418 (Browse shelf(Opens below)) Available 136122
Total holds: 0

Includes bibliographical references.

1. Biology in a nutshell --
2. Words --
3. Word distributions and occurrences --
4. Physical mapping of DNA --
5. Genome rearrangements --
6. Sequence alignment --
7. Rapid alignment methods : FASTA and BLAST --
8. DNA sequence assembly --
9. Signals in DNA --
10. Similarity, distance, and clustering --
11. Measuring expression of genome information --
12. Inferring the past : phylogenetic trees --
13. Genetic variation in populations --
14. Comparative genomics --
A. A brief introduction to R --
B. Internet bioinformatics resources--
Miscellaneous data--
References.

Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. This book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.

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