Genome Detective: an automated system for virus identification from high-throughput sequencing data

Author:

Vilsker Michael1,Moosa Yumna2,Nooij Sam3,Fonseca Vagner245,Ghysens Yoika1,Dumon Korneel1,Pauwels Raf1,Alcantara Luiz Carlos456,Vanden Eynden Ewout7,Vandamme Anne-Mieke78,Deforche Koen1,de Oliveira Tulio2ORCID

Affiliation:

1. Emweb bvba, Herent, Belgium

2. KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa

3. The Dutch National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands

4. Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil

5. Laboratory of Hematology Genetic and computational Biology, Goncalo Moniz Research Center, Oswaldo Cruz Foundation (LHGB/CPqGM/FIOCRUZ), Bahia, Brazil

6. Laboratório de Flavivírus, IOC, Fundação Oswaldo Cruz

7. KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium

8. Center for Global Health and Tropical Medicine, Unidade de Microbiologia, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal

Funder

South African Medical Research Council

Royal Society Newton Advanced Fellowship

European Union’s Horizon 2020 Research and Innovation Program

National Institutes of Health Common Fund

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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