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

Vilsker, Michael, Moosa, Yumna, Nooij, Sam, Fonseca, Vagner S., Ghysens, Yoika, Dumon, Korneel, Pauwels, Raf, Júnior Alcântara, Luiz Carlos, Ewout Vanden Eynden, AM Vandamme, Koen Deforche, Túlio de Oliveira

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)871-873
Number of pages3
JournalBioinformatics
VolumeVol. 35
Issue numbern.º 5
DOIs
Publication statusPublished - 1 Mar 2019

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    Michael, V., Yumna, M., Sam, N., Vagner S., F., Yoika, G., Korneel, D., Raf, P., Luiz Carlos, J. A., Vanden Eynden, E., Vandamme, AM., Deforche, K., & de Oliveira, T. (2019). Genome Detective: an automated system for virus identification from high-throughput sequencing data. Bioinformatics, Vol. 35(n.º 5), 871-873. https://doi.org/10.1093/bioinformatics/bty695