Listeria monocytogenes Genome sequencing and assembly
The goal of this project is to better define the persistence of Listeria monocytogenes in food-associated environment. These WGS data will be applied to analysis of environmental sampling data using the conceptual model that persistent subtypes will show more phylogenetic relatedness than random members of the subtype. Improved identification of persistent strains of foodborne pathogens in food associated environments will inform control measures designed to eliminate the pathogen.
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Format: | Dataset biblioteca |
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2014
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Subjects: | Genetics, Listeria monocytogenes, eBacteria, genome sequencing, |
Online Access: | https://figshare.com/articles/dataset/Listeria_monocytogenes_Genome_sequencing_and_assembly/25079807 |
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dat-usda-us-article250798072014-07-15T00:00:00Z Listeria monocytogenes Genome sequencing and assembly Cornell University (18794950) Genetics Listeria monocytogenes eBacteria genome sequencing The goal of this project is to better define the persistence of Listeria monocytogenes in food-associated environment. These WGS data will be applied to analysis of environmental sampling data using the conceptual model that persistent subtypes will show more phylogenetic relatedness than random members of the subtype. Improved identification of persistent strains of foodborne pathogens in food associated environments will inform control measures designed to eliminate the pathogen. 2014-07-15T00:00:00Z Dataset Dataset 10113/AF25079807 https://figshare.com/articles/dataset/Listeria_monocytogenes_Genome_sequencing_and_assembly/25079807 Copyright Undetermined |
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Estados Unidos |
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America del Norte |
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National Agricultural Library of USDA |
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Genetics Listeria monocytogenes eBacteria genome sequencing |
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Genetics Listeria monocytogenes eBacteria genome sequencing Cornell University (18794950) Listeria monocytogenes Genome sequencing and assembly |
description |
The goal of this project is to better define the persistence of Listeria monocytogenes in food-associated environment. These WGS data will be applied to analysis of environmental sampling data using the conceptual model that persistent subtypes will show more phylogenetic relatedness than random members of the subtype. Improved identification of persistent strains of foodborne pathogens in food associated environments will inform control measures designed to eliminate the pathogen. |
format |
Dataset |
author |
Cornell University (18794950) |
author_facet |
Cornell University (18794950) |
author_sort |
Cornell University (18794950) |
title |
Listeria monocytogenes Genome sequencing and assembly |
title_short |
Listeria monocytogenes Genome sequencing and assembly |
title_full |
Listeria monocytogenes Genome sequencing and assembly |
title_fullStr |
Listeria monocytogenes Genome sequencing and assembly |
title_full_unstemmed |
Listeria monocytogenes Genome sequencing and assembly |
title_sort |
listeria monocytogenes genome sequencing and assembly |
publishDate |
2014 |
url |
https://figshare.com/articles/dataset/Listeria_monocytogenes_Genome_sequencing_and_assembly/25079807 |
work_keys_str_mv |
AT cornelluniversity18794950 listeriamonocytogenesgenomesequencingandassembly |
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1808945441087160320 |