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5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey
5NosoAE is a webserver that can be used for nosocomial bacterial analysis including the identification of similar strains based on antimicrobial resistance profiles (antibiogram) and the spatiotemporal distribution visualization and phylogenetic analysis of identified strains with similar antibiogra...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252726/ https://www.ncbi.nlm.nih.gov/pubmed/35639518 http://dx.doi.org/10.1093/nar/gkac423 |
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author | Chen, Chih-Chieh Liu, Yen-Yi Yang, Ya-Chu Hsu, Chu-Yi |
author_facet | Chen, Chih-Chieh Liu, Yen-Yi Yang, Ya-Chu Hsu, Chu-Yi |
author_sort | Chen, Chih-Chieh |
collection | PubMed |
description | 5NosoAE is a webserver that can be used for nosocomial bacterial analysis including the identification of similar strains based on antimicrobial resistance profiles (antibiogram) and the spatiotemporal distribution visualization and phylogenetic analysis of identified strains with similar antibiograms. The extensive use of antibiotics has caused many pathogenic bacteria to develop multiple drug resistance, resulting in clinical infection treatment challenges and posing a major threat to global public health. Relevant studies have investigated the key determinants of antimicrobial resistance in the whole-genome sequence of bacteria. However, a web server is currently not available for performing large-scale strain searches according to antimicrobial resistance profiles and visualizing epidemiological information including the spatiotemporal distribution, antibiogram heatmap, and phylogeny of identified strains. Here, we implemented these functions in the new server, referred to as 5NosoAE. This server accepts the genome sequence file in the FASTA format of five nosocomial bacteria, namely Acinetobacter baumannii, Pseudomonas aeruginosa, Klebsiella pneumoniae, Enterococcus faecium and Staphylococcus aureus for query. All visualizations are implemented in JavaScript and PHP. This server will be useful for physicians and epidemiologists involved in research on infectious disease. The 5NosoAE platform is available at https://nosoae.imst.nsysu.edu.tw. |
format | Online Article Text |
id | pubmed-9252726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92527262022-07-05 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey Chen, Chih-Chieh Liu, Yen-Yi Yang, Ya-Chu Hsu, Chu-Yi Nucleic Acids Res Web Server Issue 5NosoAE is a webserver that can be used for nosocomial bacterial analysis including the identification of similar strains based on antimicrobial resistance profiles (antibiogram) and the spatiotemporal distribution visualization and phylogenetic analysis of identified strains with similar antibiograms. The extensive use of antibiotics has caused many pathogenic bacteria to develop multiple drug resistance, resulting in clinical infection treatment challenges and posing a major threat to global public health. Relevant studies have investigated the key determinants of antimicrobial resistance in the whole-genome sequence of bacteria. However, a web server is currently not available for performing large-scale strain searches according to antimicrobial resistance profiles and visualizing epidemiological information including the spatiotemporal distribution, antibiogram heatmap, and phylogeny of identified strains. Here, we implemented these functions in the new server, referred to as 5NosoAE. This server accepts the genome sequence file in the FASTA format of five nosocomial bacteria, namely Acinetobacter baumannii, Pseudomonas aeruginosa, Klebsiella pneumoniae, Enterococcus faecium and Staphylococcus aureus for query. All visualizations are implemented in JavaScript and PHP. This server will be useful for physicians and epidemiologists involved in research on infectious disease. The 5NosoAE platform is available at https://nosoae.imst.nsysu.edu.tw. Oxford University Press 2022-05-25 /pmc/articles/PMC9252726/ /pubmed/35639518 http://dx.doi.org/10.1093/nar/gkac423 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 | Web Server Issue Chen, Chih-Chieh Liu, Yen-Yi Yang, Ya-Chu Hsu, Chu-Yi 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title | 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title_full | 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title_fullStr | 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title_full_unstemmed | 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title_short | 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
title_sort | 5nosoae: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252726/ https://www.ncbi.nlm.nih.gov/pubmed/35639518 http://dx.doi.org/10.1093/nar/gkac423 |
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