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BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking

An increasing prevalence of hospital acquired infections and foodborne illnesses caused by pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop computational techniques to rapidly and accurately classify bacteria from genomic sequence data, and based on that, to tr...

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Autores principales: Feng, Ye, Zou, Shengmei, Chen, Hangfei, Yu, Yunsong, Ruan, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778894/
https://www.ncbi.nlm.nih.gov/pubmed/33010178
http://dx.doi.org/10.1093/nar/gkaa821
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author Feng, Ye
Zou, Shengmei
Chen, Hangfei
Yu, Yunsong
Ruan, Zhi
author_facet Feng, Ye
Zou, Shengmei
Chen, Hangfei
Yu, Yunsong
Ruan, Zhi
author_sort Feng, Ye
collection PubMed
description An increasing prevalence of hospital acquired infections and foodborne illnesses caused by pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop computational techniques to rapidly and accurately classify bacteria from genomic sequence data, and based on that, to trace the source of infection. BacWGSTdb (http://bacdb.org/BacWGSTdb) is a free publicly accessible database we have developed for bacterial whole-genome sequence typing and source tracking. This database incorporates extensive resources for bacterial genome sequencing data and the corresponding metadata, combined with specialized bioinformatics tools that enable the systematic characterization of the bacterial isolates recovered from infections. Here, we present BacWGSTdb 2.0, which encompasses several major updates, including (i) the integration of the core genome multi-locus sequence typing (cgMLST) approach, which is highly scalable and appropriate for typing isolates belonging to different lineages; (ii) the addition of a multiple genome analysis module that can process dozens of user uploaded sequences in a batch mode; (iii) a new source tracking module for comparing user uploaded plasmid sequences to those deposited in the public databases; (iv) the number of species encompassed in BacWGSTdb 2.0 has increased from 9 to 20, which represents bacterial pathogens of medical importance; (v) a newly designed, user-friendly interface and a set of visualization tools for providing a convenient platform for users are also included. Overall, the updated BacWGSTdb 2.0 bears great utility in continuing to provide users, including epidemiologists, clinicians and bench scientists, with a one-stop solution to bacterial genome sequence analysis.
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spelling pubmed-77788942021-01-06 BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking Feng, Ye Zou, Shengmei Chen, Hangfei Yu, Yunsong Ruan, Zhi Nucleic Acids Res Database Issue An increasing prevalence of hospital acquired infections and foodborne illnesses caused by pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop computational techniques to rapidly and accurately classify bacteria from genomic sequence data, and based on that, to trace the source of infection. BacWGSTdb (http://bacdb.org/BacWGSTdb) is a free publicly accessible database we have developed for bacterial whole-genome sequence typing and source tracking. This database incorporates extensive resources for bacterial genome sequencing data and the corresponding metadata, combined with specialized bioinformatics tools that enable the systematic characterization of the bacterial isolates recovered from infections. Here, we present BacWGSTdb 2.0, which encompasses several major updates, including (i) the integration of the core genome multi-locus sequence typing (cgMLST) approach, which is highly scalable and appropriate for typing isolates belonging to different lineages; (ii) the addition of a multiple genome analysis module that can process dozens of user uploaded sequences in a batch mode; (iii) a new source tracking module for comparing user uploaded plasmid sequences to those deposited in the public databases; (iv) the number of species encompassed in BacWGSTdb 2.0 has increased from 9 to 20, which represents bacterial pathogens of medical importance; (v) a newly designed, user-friendly interface and a set of visualization tools for providing a convenient platform for users are also included. Overall, the updated BacWGSTdb 2.0 bears great utility in continuing to provide users, including epidemiologists, clinicians and bench scientists, with a one-stop solution to bacterial genome sequence analysis. Oxford University Press 2020-10-03 /pmc/articles/PMC7778894/ /pubmed/33010178 http://dx.doi.org/10.1093/nar/gkaa821 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Feng, Ye
Zou, Shengmei
Chen, Hangfei
Yu, Yunsong
Ruan, Zhi
BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title_full BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title_fullStr BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title_full_unstemmed BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title_short BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
title_sort bacwgstdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778894/
https://www.ncbi.nlm.nih.gov/pubmed/33010178
http://dx.doi.org/10.1093/nar/gkaa821
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