AMROMICS JSC, Nghe An, Vietnam.
Faculty of IT, Hanoi University of Civil Engineering, Hanoi, Vietnam.
BMC Bioinformatics. 2024 May 16;25(1):193. doi: 10.1186/s12859-024-05792-9.
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 .
我们开发了 AMRViz,这是一个用于分析、可视化和管理细菌基因组样本的工具包。该工具包捆绑了当前最佳实践分析管道,允许研究人员直接从原始测序数据中使用单个命令行对一组样本进行全面分析。分析结果以报告形式呈现,展示每个样本的基因组结构、基因组注释、抗生素耐药性和毒力特征。还对所有样本的泛基因组进行分析,以确定核心基因和辅助基因。还生成了整个基因组和所有基因簇的系统发育树。该工具包提供了一个基于网络的可视化仪表板,允许研究人员交互式地检查分析结果的各个方面。可用性:AMRViz 是用 Python 和 NodeJS 实现的,并在 https://github.com/amromics/amrviz 上以开源 MIT 许可证的形式公开提供。