Computing for Comparative Microbial Genomics

Bioinformatics for Microbiologists

By: David Wayne Ussery, Trudy M. Wassenaar, Stefano Borini

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Paperback | 22 October 2010

At a Glance

Paperback
288 Pages

Edition Type
Annotated

Dimensions(cm)
23.39 x 15.6 x 1.52

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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 a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.

Industry Reviews

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. ... The book is probably more suitable as an introduction to contemporary applications of bioinformatics and microbiology for computational scientists." (Anthony J. Duben, ACM Computing Reviews, June, 2009)

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