African swine fever virus biotype identification tool

被引：0

作者：

Dinhobl, Mark ^{[1
,2
]}

Spinard, Edward ^{[1
,2
]}

Birtlery, Hillary ^{[3
]}

Tesler, Nicolas ^{[3
]}

Masembe, Charles ^{[4
]}

Ribeca, Paolo ^{[5
,6
,7
]}

Borca, Manuel V. ^{[1
,2
]}

Gladue, Douglas P. ^{[1
,2
,8
]}

机构：

[1] ARS, Foreign Anim Dis Res Unit, Natl Bio & Agrodef Facil, USDA, Manhattan, KS 66502 USA

[2] ARS, Foreign Anim Dis Res Unit, Plum Isl Anim Dis Ctr, USDA, Orient, NY 11957 USA

[3] Oak Ridge Inst Sci & Educ ORISE, Oak Ridge, TN USA

[4] Makerere Univ, Coll Nat Sci, Sch Biosci, Dept Zool Entomol & Fisheries Sci, Kampala, Uganda

[5] UK Hlth Secur Agcy, London, England

[6] Univ Warwick, NIHR Hlth Protect Res Unit Genom & Enabling Data, Coventry, England

[7] James Hutton Inst, Biomath & Stat Scotland, Edinburgh, Scotland

[8] Seek Labs, Salt Lake City, UT USA

来源：

MICROBIOLOGY RESOURCE ANNOUNCEMENTS | 2025年 / 14卷 / 02期

关键词：

ASFV; biotype; tool; African swine fever virus; African swine fever; ASF; computational; classification;

D O I：

10.1128/mra.00530-24

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

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.

引用

页数：3

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