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By Xiangyu Deng, Henk C. den Bakker, Rene S. Hendriksen

ISBN-10: 3319437496

ISBN-13: 9783319437491

ISBN-10: 3319437518

ISBN-13: 9783319437514

This publication presents a well timed and thorough image into the rising and quick evolving zone of utilized genomics of foodborne pathogens. pushed by way of the drastic increase of complete genome shot gun sequencing (WGS) applied sciences, genomics purposes have gotten more and more necessary or even crucial in learning, surveying and controlling foodborne microbial pathogens. The giant possibilities introduced by way of this development are frequently at odds with the shortcoming of bioinformatics knowledge between nutrition safeguard and public future health pros, seeing that such services isn't really a part of a regular foodstuff microbiology curriculum and ability set. extra complicating the problem is the massive and ever evolving physique of bioinformatics instruments which could obfuscate beginners to this zone. even supposing studies, tutorials and books will not be briefly provide within the fields of bioinformatics and genomics, earlier there has no longer been a finished and customised resource of data designed for and available to microbiologists drawn to utilising state-of-the-art genomics in meals protection and public healthiness learn. This ebook fills this void with a well-selected number of issues, case stories, and bioinformatics instruments contributed by means of specialists on the leading edge of foodborne pathogen genomics research.

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Extra resources for Applied Genomics of Foodborne Pathogens

Example text

Proficiency testing for bacterial whole genome sequencing: an end-user survey of current 2 Global Microbial Identifier 31 capabilities, requirements and priorities. Global Microbial Identifier initiative’s Working Group 4 (GMI-WG4). BMC Infect Dis. 2015;15:174. 1186/s12879-015-0902-3. 34.  Molecular epidemiology of Cryptosporidium in humans and cattle in The Netherlands. Int J Parasitol. 2008;38(7):809–17. 4 million episodes of foodborne illness, 55,961 hospitalizations, and 1351 deaths [1] in the US annually.

And, where to best store all the metadata? The different types of metadata originating from different fields might be centrally stored which will have advantages for retrieving and working with them, and for ensuring the open source character of the database. However, this is not necessary and by using the right identifiers, different metadata databases may be generated that connect to a central WGS database. Central storage of all kinds of metadata may bring the advantage of having a one stop shop for everything, and it may help to find new cross links between data from different fields.

Furthermore this situation occurs frequently. In an ongoing study analyzing WGS S. Enteritidis, about 20 % of all WGS clusters (defined as well supported clades with six or less SNP diversity) have mixed PFGE types.  ase Study 3: a Real-Time Analysis of a Cluster Associated C with Bean Sprouts In the fall of 2014, the US CDC in collaboration with the US FDA, identified a US multi-state outbreak of S. Enteritidis. gov/salmonella/enteritidis-11-14/index. 42 D. J. Wolfgang Fig. 3 WGS SNP based phylogenetic analysis dendrogram illustrating the tight clustering of isolates (0–3 SNPs diversity) associated with the bean sprout outbreak html).

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Applied Genomics of Foodborne Pathogens by Xiangyu Deng, Henk C. den Bakker, Rene S. Hendriksen


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