Your browser doesn't support javascript.
loading
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance.
Le, Duc Quang; Nguyen, Son Hoang; Nguyen, Tam Thi; Nguyen, Canh Hao; Ho, Tho Huu; Vo, Nam S; Nguyen, Trang; Nguyen, Hoang Anh; Cao, Minh Duc.
Afiliación
  • Le DQ; AMROMICS JSC, Nghe An, Vietnam. quangld@huce.edu.vn.
  • Nguyen SH; Faculty of IT, Hanoi University of Civil Engineering, Hanoi, Vietnam. quangld@huce.edu.vn.
  • Nguyen TT; AMROMICS JSC, Nghe An, Vietnam. dr.sonhoangnguyen@gmail.com.
  • Nguyen CH; Oxford University Clinical Research Unit, Hanoi, Vietnam.
  • Ho TH; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan.
  • Vo NS; Department of Medical Microbiology, The 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam.
  • Nguyen T; Department of Genomics and Cytogenetics, Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Hanoi, Vietnam.
  • Nguyen HA; Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Vietnam.
  • Cao MD; AMROMICS JSC, Nghe An, Vietnam.
BMC Bioinformatics ; 25(1): 193, 2024 May 16.
Article en En | MEDLINE | ID: mdl-38755527
ABSTRACT
We have developed AMRViz, a toolkit for analyzing, visualizing, and managing bacterial genomics samples. The toolkit is bundled with the current best practice analysis pipeline allowing researchers to perform comprehensive analysis of a collection of samples directly from raw sequencing data with a single command line. The analysis results in a report showing the genome structure, genome annotations, antibiotic resistance and virulence profile for each sample. The pan-genome of all samples of the collection is analyzed to identify core- and accessory-genes. Phylogenies of the whole genome as well as all gene clusters are also generated. The toolkit provides a web-based visualization dashboard allowing researchers to interactively examine various aspects of the analysis results.

Availability:

AMRViz is implemented in Python and NodeJS, and is publicly available under open source MIT license at https//github.com/amromics/amrviz .
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genoma Bacteriano / Genómica Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Vietnam

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genoma Bacteriano / Genómica Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Vietnam