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Systems Biology of Bacteria
 
 

Systems Biology of Bacteria, 1st Edition

 
Systems Biology of Bacteria, 1st Edition,Anil Wipat,Colin Harwood,ISBN9780080993874
 
 
 

Methods in Microbiology

Wipat   &   Harwood   

Academic Press

9780080993874

200

235 X 191

Focusing on the systems biology of bacteria and microorganisms, the 39th volume of Methods in Microbiology investigates the interface between molecular biology, bioinformatics, and modelling and predicting behavior. This cutting-edge research area is of extreme importance to the field and is developing quickly.   

 

Print Book

Hardcover

In Stock

Estimated Delivery Time
USD 201.00
 
 

Key Features

  • Written by research experts in the field
  • Provides a guide for lab scientists, researchers, and students
  • Focuses on up-to-date research methods

Description

Focusing on the systems biology of bacteria and microorganisms, the 39th volume of Methods in Microbiology investigates the interface between molecular biology, bioinformatics, and modelling and predicting behavior. This cutting-edge research area is of extreme importance to the field and is developing quickly. 

Readership

Microbiologists, lab researchers, students

 

Anil Wipat

Affiliations and Expertise

University of Newcastle upon Tyne

Colin Harwood

Colin Harwwod is a professor at Newcastle University

Affiliations and Expertise

Newcastle University, UK

View additional works by Colin Harwood

Systems Biology of Bacteria, 1st Edition

Series Page

Series Advisors

Contributors

Chapter 1. High-resolution temporal analysis of global promoter activity in Bacillus subtilis

1. Introduction

2. Gene Fusion Technology

3. Reporter proteins

4. Cellular Placement of Transcriptional Fusions

5. Choice of System

6. Use of Promoter Fusions to Study Biological Processes at High Temporal Resolution in Bacteria

7. Methodology for High-throughput Analysis of Promoter Activity with Fine Temporal Resolution in B. subtilis

8. Conclusions

References

Chapter 2. Data mining for microbiologists

1. Introduction

2. What is Data Mining?

3. The Data Mining Process

4. Inferential Techniques

5. Machine Learning Techniques

6. The Role of eScience

7. Case Study: Data Mining for Protein Function Prediction

8. Data Mining with Microbial Data: Practical Issues

9. Conclusions

References

Chapter 3. Proteomics

Abbreviations

1. Introduction

2. Absolute Quantification Workflows in Proteomics

3. The Proteomics Workflow

4. Generation of Absolute Quantitative Data by Targeted Mass Spectrometry

5. Generation of Large-Scale Relative Proteomics Data: Differential 2D Gel Image Analysis

6. Large-Scale Absolute Quantitative Proteomics with SRM-Calibrated 2D PAGE

References

Chapter 4. Imaging fluorescent protein fusions in live bacteria

1. Introduction

2. Molecular Toolkits

3. Functional Analysis

4. Growth Conditions

5. Agarose Slide Preparation

6. Imaging Hardware

7. Imaging Software

8. Image Processing

9. Concluding Remarks

References

Chapter 5. Targeted and quantitative metabolomics in bacteria

1. Introduction

2. Cultivation of Bacteria for Metabolome Analysis

3. Sampling Bacterial Cultures for Metabolome Analysis

4. Extraction of Metabolites from Bacteria

5. Analysis by Mass Spectrometry

6. Interpretation of Metabolite Data

7. Outlook

References

Chapter 6. Array-based approaches to bacterial transcriptome analysis

1. Introduction

2. Prior Considerations

3. Performing the Experiments

4. Data Analysis

5. Final Comments

References

Index

 
 
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