African swine fever virus biotype identification tool
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.
Authors
- Edward Spinard (ORCID: https://orcid.org/0000-0001-7268-6580)
- Manuel V. Borca (ORCID: https://orcid.org/0000-0002-0888-1178)
- Paolo Ribeca (ORCID: https://orcid.org/0000-0001-5599-3933)
- Charles Masembe (ORCID: https://orcid.org/0000-0002-9581-0414)
- Douglas P. Gladue (ORCID: https://orcid.org/0000-0002-7894-0233)
- Mark Dinhobl
- Nicolas Tesler (ORCID: https://orcid.org/0000-0001-8863-9260)
- Hillary Birtlery
Institutions
- Oak Ridge Associated Universities (US)
- Agricultural Research Service (US)
- United States Department of Agriculture (US)
- James Hutton Institute (GB)
- University of Warwick (GB)
- Plum Island Animal Disease Center (US)
- Biomathematics and Statistics Scotland (GB)
- Genomics (United Kingdom) (GB)
- UK Health Security Agency (GB)
- Oak Ridge Institute for Science and Education
- Makerere University (UG)
Publication Details
- Journal
- Microbiology Resource Announcements
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1128/mra.00530-24
- Citations
- 1
- Primary Topic
- Animal Disease Management and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- U.S. Department of Energy
- U.S. Department of Agriculture
- Oak Ridge Associated Universities
- National Institute for Health Research Health Protection Research Unit
- National Institute for Health and Care Research
- Department of Health and Social Care
- University of Warwick
- Oak Ridge Institute for Science and Education
- Animal and Plant Health Inspection Service