Automatizes the identification of genera and genes of the family Geminiviridae. F2 is an in-silico prediction approach that uses only genomic characteristics common to any viral genome to build classification models. This method is adapted to act autonomously based on the genus classification, whose result redirects the analysis to specific databases for the identified genus.
Department of Informatics, Universidade Federal de Viçosa, Viçosa, Brazil; National Institute of Science and Technology in Plant-Pest Interactions/BIOAGRO, Campus Universitário, Viçosa, Brazil; Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Campus Universitário, Viçosa, Brazil; Department of Production Engineering, Universidade Federal Fluminense, Bairro Quitandinha, Petrópolis, Rio de Janeiro, Brazil
F2 funding source(s)
Supported by the following grants from Brazilian government agencies: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and National Institute of Science and Technology in Plant-Pest Interactions (INCTIPP).