Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2180-9-238
Title: RotaC: A web-based tool for the complete genome classification of group A rotaviruses
Authors: Maes, P
Matthijnssens, J
Rahman, M 
Van Ranst, M
Keywords: gene product
genomic RNA
nonstructural protein 1
Rotavirus vaccine
article
classification algorithm
computer program
diagnostic accuracy
diarrhea
gastroenteritis
gene sequence
genetic variability
genotype
Hepatitis B virus
Hepatitis C virus
host
host range
human
Human immunodeficiency virus 1
Human immunodeficiency virus 2
Human T cell leukemia virus 1
Human T cell leukemia virus 2
Internet
morbidity
mortality
nonhuman
online analysis
Poliomyelitis virus
Rotavirus
sequence analysis
strain difference
virus classification
virus genome
virus infection
virus strain
classification
genetics
genomics
instrumentation
methodology
Rotavirus infection
virology
virus genome
Animalia
Rotavirus
Rotavirus A
Genome, Viral
Genomics
Humans
Internet
Rotavirus
Rotavirus Infections
Issue Date: 2009
Citation: Maes, P, Matthijnssens, J, Rahman, M, Van Ranst, M (2009). RotaC: A web-based tool for the complete genome classification of group A rotaviruses. BMC Microbiology 9 : 238. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2180-9-238
Rights: Attribution 4.0 International
Abstract: Background. Group A rotaviruses are the most common cause of severe diarrhea in infants and children worldwide and continue to have a major global impact on childhood morbidity and mortality. In recent years, considerable research efforts have been devoted to the development of two new live, orally administered vaccines. Although both vaccines have proven to confer a good protection against severe rotavirus gastroenteritis, these vaccines will have to be screened and may have to be updated regularly to reflect temporal and spatial genotype fluctuations. In this matter, the genetic characterization of circulating and new emerging rotavirus strains will need to be compulsory and accurate. An extended classification system for rotaviruses in which all the 11 genomic RNA segments are used, has been proposed recently. The use of this classification system will help to elucidate the role of gene reassortments in the generation of genetic diversity, host range restriction, co-segregation of certain gene segments, and in adaptation to a new host species. Results. Here we present a web-based tool that can be used for fast rotavirus genotype differentiation of all 11 group A rotavirus gene segments according to the new guidelines proposed by the Rotavirus Classification Working Group (RCWG). Conclusion. With the increasing sequencing efforts that are being conducted around the world to unravel complete rotavirus genomes of human and animal origin, this tool will be of great help to analyze and correctly classify the large amount of new data. The web-based tool is freely available at http://rotac.regatools.be. © 2009 Maes et al; licensee BioMed Central Ltd.
Source Title: BMC Microbiology
URI: https://scholarbank.nus.edu.sg/handle/10635/181688
ISSN: 14712180
DOI: 10.1186/1471-2180-9-238
Rights: Attribution 4.0 International
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