5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey.
Chih-Chieh ChenYen-Yi LiuYa-Chu YangChu-Yi HsuPublished in: Nucleic acids research (2022)
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.
Keyphrases
- antimicrobial resistance
- acinetobacter baumannii
- multidrug resistant
- klebsiella pneumoniae
- pseudomonas aeruginosa
- escherichia coli
- drug resistant
- biofilm formation
- protein protein
- public health
- staphylococcus aureus
- infectious diseases
- cystic fibrosis
- primary care
- small molecule
- methicillin resistant staphylococcus aureus
- healthcare
- high throughput
- gene expression
- risk factors
- health information
- genome wide
- dna methylation
- high resolution
- social media
- cross sectional
- atomic force microscopy
- living cells
- high speed
- single cell
- replacement therapy