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001 ocm56880311;

003 OCoLC;

005 20141212020526.0;

008 041019s2005 nyua b 001 0 eng ;

010 a| 2004059191;

016 7 a| 1012604732| DNLM;

020 a| 0387987851 (alk. paper);

020 a| 9780387987859 (alk. paper);

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029 1 a| IG#b| 9780387987859;

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029 1 a| DEBBGb| BV019848588;

035 a| (Sirsi) H1034995;

035 a| (OCoLC)56880311;

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050 00 a| QH438.4.M33b| W378 2005;

060 00 a| 2005 N-163;

060 10 a| QU 58.5b| D418c 2005;

070 0 a| QH438.4.M33b| W378 2005;

072 7 a| QA2| lcco;

082 00 a| 572.8/62| 22;

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084 a| BIO 110f2| stub;

084 a| BIO 180f2| stub;

084 a| WC 44602| rvk;

084 a| WC 77002| rvk;

100 1 a| Deonier, Richard C.,d| 1942-=| ^A947912;

245 10 a| Computational genome analysis :b| an introduction /c| Richard C. Deonier, Simon Tavaré, Michael S. Waterman.;

260 a| New York :b| Springer,c| 2005.;

300 a| xx, 534 pages :b| illustrations (some color) ;c| 24 cm;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

504 a| Includes bibliographical references and index.;

505 0 a| 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.;

520 1 a| "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.;

650 0 a| Geneticsx| Mathematics.=| ^A277;

650 0 a| Computational biologyv| Methods.=| ^A493305;

650 0 a| Genomics.=| ^A528942;

650 0 a| Genomes.=| ^A268444;

650 0 a| Sequence Analysis.?| UNAUTHORIZED;

700 1 a| Tavaré, Simon.=| ^A579796;

700 1 a| Waterman, Michael S.=| ^A227614;

949 a| QH438.4.M33 W378 2005w| LCi| 305131062903Xh| ENPE6o| 357640;

994 a| C0b| NPE;

590 a| Little-357640--305131062903X;

096 a| QH 438.4 D418c 2005;

596 a| 2 4;

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999 a| QH 438.4 D418C 2005w| NLMc| 1i| 31740008296943d| 6/15/2016e| 5/25/2016f| 6/30/2015g| 2l| HSLBKm| HSLn| 8p| $63.96r| Ys| Yt| HBKu| 9/29/2005x| BOOKz| HSTACKSo| .STAFF. 0;

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

Author/creator	Deonier, Richard C., 1942-
Other author	Tavaré, Simon.
Other author	Waterman, Michael S.
Format	Book
Publication Info	New York : Springer, 2005.
Description	xx, 534 pages : illustrations (some color) ; 24 cm
Subjects	Genetics--Mathematics. Computational biology--Methods. Genomics. Genomes. Sequence Analysis.

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.
Review	"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.
Local note	Little-357640--305131062903X
Bibliography note	Includes bibliographical references and index.
LCCN	2004059191
ISBN	0387987851 (alk. paper)
ISBN	9780387987859 (alk. paper)

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Library	Location	Call Number	Status	Item Actions
Laupus	Books - Stacks	QH 438.4 D418C 2005	✔ Available	Place Hold

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

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