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    Genome Detective: An Automated System for Virus Identification from High-throughput sequencing data.

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    Authors
    Vilsker, Michael
    Moosa, Yumna
    Nooij, Sam
    Fonseca, Vagner
    Ghysens, Yoika
    Dumon, Korneel
    Pauwels, Raf
    Alcantara, Luiz Carlos
    Vanden Eynden, Ewout
    Vandamme, Anne-Mieke
    Deforche, Koen
    de Oliveira, Tulio
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    Type
    Article
    Language
    en
    
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    Title
    Genome Detective: An Automated System for Virus Identification from High-throughput sequencing data.
    Published in
    Bioinformatics 2018; advance online publication (ahead of print)
    Publiekssamenvatting
    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.
    DOI
    10.1093/bioinformatics/bty695
    PMID
    30124794
    URI
    http://hdl.handle.net/10029/622223
    ae974a485f413a2113503eed53cd6c53
    10.1093/bioinformatics/bty695
    Scopus Count
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