Computational Methods for Understanding Bacterial and Archaeal Genomes

Ying Xu

ISBN 10: 1860949827 / ISBN 13: 9781860949821

Editore: Imperial College Press Jun 2008, 2008

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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.

Codice articolo 9781860949821

Dati bibliografici

• Titolo: Computational Methods for Understanding Bacterial and Archaeal Genomes
• Editore: Imperial College Press Jun 2008
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 1860949827
• ISBN 13: 9781860949821
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

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