Article
Genome Detective: an automated system for virus identification from high-throughput sequencing data
Registro en:
VILSKER, M. et al. Genome Detective: an automated system for virus identification from high-throughput sequencing data. Bioinformatics, p. 1–3, 2018.
1367-4803
Autor
Vilsker, Michael
Moosa, Yumna
Nooij, Sam
Fonseca, Vagner
Ghysens, Yoika
Dumon, Korneel
Pauwels, Raf
Alcantara, Luiz Carlos Júnior
Vandamme, Anne-Mieke
Eynden, Ewout Vanden
Deforche, Koen
Oliveira, Tulio de
Resumen
South African Medical
Research Council (MRC-RFA-UFSP-01-2013/UKZN HIVEPI), a Royal
Society Newton Advanced Fellowship (TdO), the VIROGENESIS project
receives funding from the European Union’s Horizon 2020 Research and
Innovation Program (under Grant Agreement no. 634650) and the National
Institutes of Health Common Fund, grant number U24HG006941 Genome Detective is an easy to use web-based software application that assembles the
genomes of viruses quickly and accurately. The application uses a novel alignment method that
constructs genomes by reference-based linking of de novo contigs by combining amino-acids and
nucleotide scores. The software was optimized using synthetic datasets to represent the great diversity
of virus genomes. The application was then validated with next generation sequencing data of
hundreds of viruses. User time is minimal and it is limited to the time required to upload the data.