MosaicSolver: A tool for determining recombinants of viral genomes from pileup data

Graham R. Wood*, Eugene V. Ryabov, Jessica M 0 Fannon, Jonathan D. Moore, David J. Evans, Nigel Burroughs

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)
    4 Downloads (Pure)

    Abstract

    Viral recombination is a key evolutionary mechanism, aiding escape from host immunity, contributing to changes in tropism and possibly assisting transmission across species barriers. The ability to determine whether recombination has occurred and to locate associated specific recombination junctions is thus of major importance in understanding emerging diseases and pathogenesis. This paper describes a method for determining recombinant mosaics (and their proportions) originating from two parent genomes, using high-throughput sequence data. The method involves setting the problem geometrically and the use of appropriately constrained quadratic programming. Recombinants of the honeybee deformed wing virus and the Varroa destructor virus-1 are inferred to illustrate themethod from both siRNAs and reads sampling the viral genome population (cDNA library); our results are confirmed experimentally. Matlab software (MosaicSolver) is available.

    Original languageEnglish
    Article numbere123
    Pages (from-to)1-14
    Number of pages14
    JournalNucleic Acids Research
    Volume42
    Issue number16
    DOIs
    Publication statusPublished - 15 Sep 2014

    Bibliographical note

    Copyright the Author(s) 2014. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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