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Microbial Gene Essentiality: Protocols and Bioinformatics

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Cover of 'Microbial Gene Essentiality: Protocols and Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Whole-Genome Essentiality Analysis
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    Chapter 2 Transposon-Based Strategies for the Identification of Essential Bacterial Genes
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    Chapter 3 Identification and Analysis of Essential Genes in Haemophilus influenzae
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    Chapter 4 Transposon Site Hybridization in Mycobacterium tuberculosis
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    Chapter 5 Essential Genes in the Infection Model of Pseudomonas aeruginosa PCR-Based Signature-Tagged Mutagenesis
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    Chapter 6 Whole-Genome Detection of Conditionally Essential and Dispensable Genes in Escherichia coli via Genetic Footprinting
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    Chapter 7 Generating a Collection of Insertion Mutations in the Staphylococcus aureus Genome Using bursa aurealis
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    Chapter 8 Multipurpose Transposon Insertion Libraries for Large-Scale Analysis of Gene Function in Yeast
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    Chapter 9 How to Make a Defined Near-Saturation Mutant Library. Case 1: Pseudomonas aeruginosa PAO1
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    Chapter 10 Comparing Insertion Libraries in Two Pseudomonas aeruginosa Strains to Assess Gene Essentiality
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    Chapter 11 The Construction of Systematic In-Frame, Single-Gene Knockout Mutant Collection in Escherichia coli K-12
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    Chapter 12 The Applications of Systematic In-Frame, Single-Gene Knockout Mutant Collection of Escherichia coli K-12
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    Chapter 13 A Novel, Simple, High-Throughput Method for Isolation of Genome-Wide Transposon Insertion Mutants of Escherichia coli K-12
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    Chapter 14 High-Throughput Creation of a Whole-Genome Collection of Yeast Knockout Strains
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    Chapter 15 Analysis of Genetic Interactions on a Genome-Wide Scale in Budding Yeast: Diploid-Based Synthetic Lethality Analysis by Microarray
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    Chapter 16 Scarless Engineering of the Escherichia coli Genome
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    Chapter 17 Minimization of the Escherichia coli genome using the Tn5-targeted Cre/loxP excision system.
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    Chapter 18 Construction of Long Chromosomal Deletion Mutants of Escherichia coli and Minimization of the Genome
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    Chapter 19 Identification of Essential Genes in Staphylococcus aureus by Construction and Screening of Conditional Mutant Library
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    Chapter 20 Techniques for the Isolation and Use of Conditionally Expressed Antisense RNA to Achieve Essential Gene Knockdowns in Staphylococcus aureus
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    Chapter 21 Introduction of Conditional Lethal Amber Mutations in Escherichia coli
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    Chapter 22 Statistical Methods for Building Random Transposon Mutagenesis Libraries
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    Chapter 23 Statistical Evaluation of Genetic Footprinting Data
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    Chapter 24 Modeling Competitive Outgrowth of Mutant Populations: Why Do Essentiality Screens Yield Divergent Results?
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    Chapter 25 Statistical Analysis of Fitness Data Determined by TAG Hybridization on Microarrays
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    Chapter 26 Profiling of Escherichia coli Chromosome Database
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    Chapter 27 Gene Essentiality Analysis Based on DEG, a Database of Essential Genes
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    Chapter 28 Detection of Essential Genes in Streptococcus pneumoniae Using Bioinformatics and Allelic Replacement Mutagenesis
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    Chapter 29 Design and Application of Genome-Scale Reconstructed Metabolic Models
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    Chapter 30 Predicting Gene Essentiality Using Genome-Scale in Silico Models
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    Chapter 31 Comparative Approach to Analysis of Gene Essentiality
Overall attention for this book and its chapters
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Citations

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Title
Microbial Gene Essentiality: Protocols and Bioinformatics
Published by
Humana Press, April 2008
DOI 10.1007/978-1-59745-321-9
ISBNs
978-1-58829-378-7, 978-1-59745-321-9
Editors

Osterman, Andrei L., Gerdes, Svetlana Y.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Agricultural and Biological Sciences 1 33%
Chemistry 1 33%