HantaNet: A New MicrobeTrace Application for Hantavirus Classification, Genomic Surveillance, Epidemiology and Outbreak Investigations

• Published in: Viruses Vol. 15; no. 11; p. 2208
• Main Authors: Cintron, Roxana, Whitmer, Shannon L M, Moscoso, Evan, Campbell, Ellsworth M, Kelly, Reagan, Talundzic, Emir, Mobley, Melissa, Chiu, Kuo Wei, Shedroff, Elizabeth, Shankar, Anupama, Montgomery, Joel M, Klena, John D, Switzer, William M
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.11.2023
• Subjects: Animals; Applications software; Automatic classification; Bioinformatics; Communicable Diseases - epidemiology; Contact tracing; Datasets; Disease Outbreaks; Disease transmission; Distribution; Epidemics; Epidemiology; Fourier transforms; Genetic aspects; Genomes; Genomics; Hantavirus; Hantavirus Infections - epidemiology; Hantaviruses; HIV; Human immunodeficiency virus; Humans; Identification and classification; Laboratories; Metadata; Methods; MicrobeTrace; networks; Orthohantavirus - genetics; outbreak; Outbreaks; Phylogenetics; Phylogeny; Public health; RNA polymerase; Rodentia; Surveillance; United States; viral classification; Virus research; Viruses; Visualization; Web browsers; Zoonoses; United States; South America; Asia; United States > US; Europe; MicrobeTrace; epidemiology; visualization; viral classification; hantavirus; bioinformatics; outbreak; surveillance; networks

Hantaviruses zoonotically infect humans worldwide with pathogenic consequences and are mainly spread by rodents that shed aerosolized virus particles in urine and feces. Bioinformatics methods for hantavirus diagnostics, genomic surveillance and epidemiology are currently lacking a comprehensive app...