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Computing for Comparative Microbial Genomics: Bioinformatics for Microbiologists 2009 ed. [Kõva köide]

  • Formaat: Hardback, 270 pages, kõrgus x laius: 235x155 mm, kaal: 600 g, XIV, 270 p. With online files/update., 1 Hardback
  • Sari: Computational Biology 8
  • Ilmumisaeg: 26-Feb-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848002548
  • ISBN-13: 9781848002548
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  • Formaat: Hardback, 270 pages, kõrgus x laius: 235x155 mm, kaal: 600 g, XIV, 270 p. With online files/update., 1 Hardback
  • Sari: Computational Biology 8
  • Ilmumisaeg: 26-Feb-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848002548
  • ISBN-13: 9781848002548
Teised raamatud teemal:
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.

Arvustused

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)

Preface v
Acknowledgements ix
Part I Introductions
Sequences as Biological Information: Cells Obey the Laws of Chemistry and Physics
3(16)
Why Study Microbes?
3(2)
What is Biological Information and Where Does It Come From
5(2)
How DNA Sequences Code for Information
7(2)
From DNA to Protein: Transcription and Translation
9(3)
DNA Sequences: More than Protein-Coding Genes
12(2)
From DNA to DNA: Replication
14(1)
Proteins: Structure and Function
14(5)
Bioinformatics for Microbiologists: An Introduction
19(18)
Identifying Similarities: Sequence Comparison by Means of Alignments
19(9)
From Alignments to Phylogenic Relationships
28(3)
Genome Annotation: the Challenge to Get It Right
31(2)
Information Beyond the Single Genome
33(4)
Microbial Genome Sequences: A New Era in Microbiology
37(16)
The First Completely Sequenced Microbial Genome
37(1)
The Importance of Visualization
38(4)
Genome Atlases to Visualize Chromosomes
42(2)
A Race Against the Clock: The Speed of Sequencing
44(2)
The First Completely Sequenced Bacterial Genome
46(1)
Comparative Bacterial Genomics
47(3)
The Microbial Genome: Not All Bacteria Are Like E. coli
50(3)
An Overview of Genome Databases
53(16)
What is a Database?
54(3)
Three Databases Storing Sequences and a Lot More
57(4)
Data Files and Formats
61(1)
RNA Databases
62(2)
Protein Databases
64(5)
The Challenges of Programming: a Brief Introduction
69(26)
A Brief Overview of Computer Science Concepts
69(4)
A Look at the Most Common Bioinformatic Procedures
73(8)
Achieving Better Automation
81(2)
Some Technical Details and Future Directions
83(1)
Programming Languages
83(3)
Markup Languages
86(2)
Service Oriented Architecture
88(1)
Specific Tools for Bioinformatic Use
89(6)
Part II Comparative Genomics
Methods to Compare Genomes: the First Examples
95(16)
Genomic Comparisons: The Size of a Genome
95(4)
Pairwise Alignment of Genomes
99(1)
Comparing Gene Content and Annotation Quality
100(2)
RNA Comparisons: A Look at rRNAs
102(1)
Proteome Comparisons: What Makes a Family?
103(8)
Genomic Properties: Length, Base Composition and DNA Structures
111(26)
Length of Genomes: the `C-Value Paradox'
112(2)
Genome Average Base Composition: The Percentage of AT
114(4)
GC Skew---Bias Towards The Replication Leading Strand
118(4)
Global Chromosomal Bias of AT Content
122(3)
DNA Structures
125(3)
The Structure Atlas
128(1)
Bias In Purines---A-DNA Atlases
129(2)
More on Structure Atlases
131(6)
Word Frequencies and Repeats
137(16)
Analyzing Word Frequencies in a Genome
137(2)
DNA Repeats Within a Chromosome
139(4)
Introduction to the DNA Repeat Atlas
143(3)
Local DNA Repeats are Related to Chromosomal AT Content
146(1)
DNA Structures Related to Repeats in Sequences
147(1)
The Genome Atlas: Our Standard Method for Visualization
147(6)
Part III Transcriptomics and Proteomics
Transcriptomics: Translated and Untranslated RNA
153(14)
Counting rRNA and tRNA Genes
154(1)
A Closer Look at Ribosomal RNA
155(5)
Genes Encoding Transfer RNA
160(1)
Genes Coding mRNA: Comparing Codon Usage Between Bacteria
161(3)
Other Non-coding RNA: tmRNA
164(3)
Expression of Genes and Proteins
167(22)
Comparing Gene Expression and Protein Expression
168(1)
Regulation of Transcription
169(10)
Regulation of Translation
179(1)
Protein Modification and Cellular Localization
180(5)
Antigen and Epitope Prediction
185(4)
Of Proteins, Genomes, and Proteomes
189(24)
Analysis of Individual Protein-Coding Genes
190(7)
How to Annotate a Complete Genome
197(6)
Proteome Comparisons
203(10)
PART IV MICROBIAL COMMUNITIES
Microbial Communities: Core and Pan-Genomics
213(16)
Defining Pan-Genomes and Core Genomes
214(4)
Current Data Available for Pan- and Core Genome Analysis
218(1)
The Pan- and Core Genome of Streptococcus
219(2)
The Current Bacillus Pan- and Core Genome
221(1)
An Overview of Some Proteobacterial Pan- and Core Genomes
222(1)
The Burkholderia Pan- and Core Genome
223(6)
Metagenomics of Microbial Communities
229(14)
Metagenomics Based on 16S rRNA Analysis
230(2)
Metagenomics Based on Complete DNA Sequencing
232(2)
Environmental Influences on Base Composition
234(1)
Visualization of Environmental Metagenomic Data
235(5)
Marine Metagenomics
240(1)
Other Metagenomics Applications
241(2)
Evolution of Microbial Communities; or, On the Origins of Bacterial Species
243(14)
Where Does Diversity Come From?
244(1)
Evolution Takes Time
245(2)
Evidence of Evolution in a Single Genome
247(2)
Genome Islands
249(3)
Evolution on a Chip
252(1)
Species and Speciation: Vibrio cholerae
253(1)
Can We Predict Evolution? Escherichia coli Genome Reduction
253(4)
Abbreviations 257(6)
Index 263