Dinhobl Mark, Spinard Edward, Birtlery Hillary, Tesler Nicolas, Masembe Charles, Ribeca Paolo, Borca Manuel V, Gladue Douglas P
Foreign Animal Disease Research Unit, National Bio and Agro-Defense Facility, U.S. Department of Agriculture, Agricultural Research Service, Manhattan, Kansas, USA.
Foreign Animal Disease Research Unit, Plum Island Animal Disease Center, U.S. Department of Agriculture, Agricultural Research Service, Orient, New York, USA.
Microbiol Resour Announc. 2025 Feb 11;14(2):e0053024. doi: 10.1128/mra.00530-24. Epub 2024 Dec 19.
African swine fever virus biotyping is a recently described classification technique that is based on an isolate's encoded proteome. In short, proteomes are compared and grouped based on unsupervised machine learning. This tool analyzes African swine fever virus (ASFV) genomes and will report their closest matches along with their ASFV biotypes. Here, we describe a standalone implementation that can be freely downloaded and used.
非洲猪瘟病毒生物分型是一种最近描述的分类技术,它基于分离株的编码蛋白质组。简而言之,蛋白质组基于无监督机器学习进行比较和分组。该工具分析非洲猪瘟病毒(ASFV)基因组,并将报告其最接近的匹配项及其ASFV生物型。在这里,我们描述了一种可以免费下载和使用的独立实现方式。