Description |
xx, 534 pages, 12 unnumbered pages of plates : illustrations (some color) ; 24 cm |
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 |
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."--BOOK JACKET |
Bibliography |
Includes bibliographical references and index |
Subject |
Bioinformatics.
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Computational biology.
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Molecular biology -- Statistics.
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Genetics -- Mathematics.
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Computational Biology -- methods.
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Genomics.
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Genome.
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Sequence Analysis.
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Genre/Form |
Statistics.
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Author |
Tavaré, Simon.
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Deonier, Richard C., 1942-
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LC no. |
2004059191 |
ISBN |
0387987851 hardback alkaline paper |
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