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David Wayne Ussery - Computing for Comparative Microbial Genomics - 9781848002548 - V9781848002548
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Computing for Comparative Microbial Genomics

€ 63.43
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Description for Computing for Comparative Microbial Genomics Hardcover. The problem many microbiologists face is simply that of too much information. Built around teaching computational and bioinformatic methodology, this book details published methods for comparing genomes and provides examples of how to make custom comparisons. Series: Computational Biology. Num Pages: 270 pages, 2 black & white tables, 2 colour tables, biography. BIC Classification: PSG; U. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 247 x 163 x 17. Weight in Grams: 394.
Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and ... Read more

Product Details

Publisher
Springer London Ltd United Kingdom
Number of pages
288
Format
Hardback
Publication date
2009
Series
Computational Biology
Condition
New
Weight
439g
Number of Pages
270
Place of Publication
England, United Kingdom
ISBN
9781848002548
SKU
V9781848002548
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Computing for Comparative Microbial Genomics
From the reviews: "It is a very well-written review of genomics and proteomics of microbes, and makes convincing arguments for the practicality of applying bioinformatics to the study of communities of these species. The references are well chosen. The writing style is superb. … There is an amazing amount of interesting material, in fewer than 275 pages. … ... Read more

Goodreads reviews for Computing for Comparative Microbial Genomics


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