Sandås Kristofer, Lewerentz Jacob, Karlsson Edvin, Karlsson Linda, Sundell David, Simonyté-Sjödin Kotryna, Sjödin Andreas
Division of CBRN Defence and Security, Swedish Defence Research Agency (FOI), Umeå 906 21, Sweden.
Pediatrics, Department of Clinical Sciences, Umeå University, Umeå 901 87, Sweden.
Bioinformatics. 2024 Mar 4;40(3). doi: 10.1093/bioinformatics/btae108.
Nanometa Live presents a user-friendly interface designed for real-time metagenomic data analysis and pathogen identification utilizing Oxford Nanopore Technologies' MinION and Flongle flow cells. It offers an efficient workflow and graphical interface for the visualization and interpretation of metagenomic data as it is being generated. Key features include automated BLAST validation, streamlined handling of custom Kraken2 databases, and a simplified graphical user interface for enhanced user experience. Nanometa Live is particularly notable for its capability to run without constant internet or server access once installed, setting it apart from similar tools. It provides a comprehensive view of taxonomic composition and facilitates the detection of user-defined pathogens or other species of interest, catering to both researchers and clinicians.
Nanometa Live has been implemented as a local web application using the Dash framework with Snakemake handling the data processing. The source code is freely accessible on the GitHub repository at https://github.com/FOI-Bioinformatics/nanometa_live and it is easily installable using Bioconda. It includes containerization support via Docker and Singularity, ensuring ease of use, reproducibility, and portability.
Nanometa Live提供了一个用户友好的界面,专为利用牛津纳米孔技术公司的MinION和Flongle流动槽进行实时宏基因组数据分析和病原体鉴定而设计。它为宏基因组数据生成过程中的可视化和解读提供了高效的工作流程和图形界面。关键特性包括自动BLAST验证、对自定义Kraken2数据库的简化处理以及用于增强用户体验的简化图形用户界面。Nanometa Live特别值得注意的是,一旦安装,它能够在无需持续网络或服务器访问的情况下运行,这使其有别于类似工具。它提供了分类组成的全面视图,并便于检测用户定义的病原体或其他感兴趣的物种,适用于研究人员和临床医生。
Nanometa Live已作为一个本地Web应用程序实现,使用Dash框架,由Snakemake处理数据处理。源代码可在GitHub仓库(https://github.com/FOI - Bioinformatics/nanometa_live)上免费获取,并且使用Bioconda易于安装。它包括通过Docker和Singularity的容器化支持,确保易用性、可重复性和可移植性。