Editors:
- Teaches computational / bioinformatic methods for comparison of microbial genomes
- Contains detailed examples of comparisons at the level of DNA, RNA and protein, in terms of structure and functional analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Biology (COBO, volume 8)
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Table of contents (14 chapters)
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Front Matter
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Introductions
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Front Matter
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Comparative Genomics
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Front Matter
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Transcriptomics and Proteomics
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Front Matter
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Back Matter
About this book
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)
Editors and Affiliations
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Department of Systems Biology, The Technical University of Denmark, Lyngby, Denmark
David W. Ussery
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Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany
Trudy M. Wassenaar
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Laboratory of Physical Chemistry Swiss Federal Institute of Technology (ETH), Zurich, Switzerland
Stefano Borini
Bibliographic Information
Book Title: Computing for Comparative Microbial Genomics
Book Subtitle: Bioinformatics for Microbiologists
Editors: David W. Ussery, Trudy M. Wassenaar, Stefano Borini
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-1-84800-255-5
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-254-8Published: 26 February 2009
Softcover ISBN: 978-1-84996-763-1Published: 22 October 2010
eBook ISBN: 978-1-84800-255-5Published: 16 December 2008
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 1
Number of Pages: XIV, 270
Topics: Microbiology, Computer Science, general, Computational Biology/Bioinformatics, Microbial Genetics and Genomics, Artificial Intelligence, Human Genetics