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9781860949821 - Computational Methods for Understanding Bacterial and Archaeal Genomes: 7 Series on Advances in Bioinformatics and Computational Biology by Xu Ying Et Al (10 results)
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Computational Methods for Understanding Bacterial and Archaeal Genomes (V7)
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 87.99
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 2 available
Add to basketCondition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 97.14
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 97.14
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 108.69
Convert currency£ 6.74 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New. pp. xix + 473.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
Condition: New. pp. xix + 473 Illus.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 154.84
Convert currency£ 14.97 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New.
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COMPUTATIONAL METHODS FOR UNDERSTANDING BACTERIAL AND ARCHAEAL GENOMES (Advances in Bioinformatics and Computational Biology)
Published by Imperial College Press, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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£ 164.01
Convert currency£ 21.62 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: New. Includes a collection of chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. This book presents a comparative view of bacterial and archaeal geno.
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Computational Methods for Understanding Bacterial and Archaeal Genomes
Published by Imperial College Press Jun 2008, 2008
ISBN 10: 1860949827 ISBN 13: 9781860949821
Language: English
£ 204.06
Convert currency£ 12.10 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.
