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Listeria monocytogenes

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Cover of 'Listeria monocytogenes'

Table of Contents

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    Book Overview
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    Chapter 1 Sampling the Processing Environment for Listeria
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    Chapter 2 Traditional Methods for Isolation of Listeria monocytogenes
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    Chapter 3 Confirmation of Isolates of Listeria by Conventional and Real-Time PCR
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    Chapter 4 Serotype Assignment by Sero-Agglutination, ELISA, and PCR
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    Chapter 5 Pulsed-Field Gel Electrophoresis (PFGE) Analysis of Listeria monocytogenes
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    Chapter 6 Multilocus Sequence Typing (MLST) of Listeria monocytogenes
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    Chapter 7 Ribotyping and Automated Ribotyping of Listeria monocytogenes
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    Chapter 8 Fluorescent Amplified Fragment Length Polymorphism (fAFLP) Analysis of Listeria monocytogenes
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    Chapter 9 High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray
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    Chapter 10 Analysis of Listeria monocytogenes Subproteomes.
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    Chapter 11 The Listeria Cell Wall and Associated Carbohydrate Polymers
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    Chapter 12 Use of Bacteriophage Cell Wall-Binding Proteins for Rapid Diagnostics of Listeria
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    Chapter 13 Virulence Characterization of Listeria monocytogenes
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    Chapter 14 Internalization Assays for Listeria monocytogenes
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    Chapter 15 Extraction and Analysis of Plasmid DNA from Listeria monocytogenes
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    Chapter 16 Generation of Nonpolar Deletion Mutants in Listeria monocytogenes Using the “SOEing” Method
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    Chapter 17 Mutant Construction and Integration Vector-Mediated Gene Complementation in Listeria monocytogenes.
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    Chapter 18 Absolute and Relative Gene Expression in Listeria monocytogenes Using Real-Time PCR
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    Chapter 19 Genome Sequencing of Listeria monocytogenes.
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    Chapter 20 Using Enhanced Green Fluorescent Protein (EGFP) Promoter Fusions to Study Gene Regulation at Single Cell and Population Levels
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    Chapter 21 Control of Listeria monocytogenes in the Processing Environment by Understanding Biofilm Formation and Resistance to Sanitizers
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    Chapter 22 Vaccination Studies: Detection of a Listeria monocytogenes- Specific T Cell Immune Response Using the ELISPOT Technique
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    Chapter 23 Sampling the Food Processing Environment: Taking Up the Cudgel for Preventive Quality Management in Food Processing Environments
Attention for Chapter 19: Genome Sequencing of Listeria monocytogenes.
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Chapter title
Genome Sequencing of Listeria monocytogenes.
Chapter number 19
Book title
Listeria monocytogenes
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0703-8_19
Pubmed ID
Book ISBNs
978-1-4939-0702-1, 978-1-4939-0703-8
Authors

Stephan Schmitz-Esser, Martin Wagner, Schmitz-Esser, Stephan, Wagner, Martin

Abstract

Genome sequencing is a key technology in microbiology. A genome sequence is the prerequisite for understanding the molecular basis of a given phenotype; this is of particular importance for pathogens. Particularly for the foodborne pathogen Listeria monocytogenes, which is an important model organism in infection biology, genome sequencing has proven to be invaluable in advancing our understanding of its virulence mechanisms and epidemiology. In this chapter, current technologies and software tools for genome sequencing and genome analysis of L. monocytogenes are described.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Researcher 1 17%
Student > Bachelor 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Veterinary Science and Veterinary Medicine 2 33%
Computer Science 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2014.
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#20,229,658
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Outputs from Methods in molecular biology
#9,863
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#264,784
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Outputs of similar age from Methods in molecular biology
#405
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