SnapperDB: a database solution for routine sequencing analysis of bacterial isolates-Reference-Cited by-同舟云学术

SnapperDB: a database solution for routine sequencing analysis of bacterial isolates

Published:2018-04-05 Issue:17 Volume:34 Page:3028-3029
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Dallman Timothy¹,Ashton Philip¹²,Schafer Ulf³,Jironkin Aleksey³,Painset Anais¹,Shaaban Sharif⁴,Hartman Hassan¹,Myers Richard³,Underwood Anthony³,Jenkins Claire¹,Grant Kathie¹

Affiliation:

1. Gastrointestinal Bacteria Reference Unit, National Infections Service, Public Health England, London, UK

2. Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam

3. Infectious Disease Informatics, National Infections Service, Public Health England, London, UK

4. Roslin Institute, University of Edinburgh, Scotland, UK

Funder

National Institute for Health Research Health Protection Research Unit in GI Infections

NHS

NIHR

Department of Health

Public Health England

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/17/3028/25703020/bty212.pdf

Reference13 articles.

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2. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins;Croucher;Nucleic Acids Res,2015

3. Phylogenetic structure of European Salmonella Enteritidis outbreak correlates with national and international egg distribution network;Dallman;Microb. Genomics,2016

4. Prospective use of whole genome sequencing (WGS) detected a multi-country outbreak of Salmonella enteritidis;Inns;Epidemiol. Infect,2017

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