Enhanced bioinformatic profiling of VIDISCA libraries for virus detection and discovery

Cormac M. Kinsella, Martin Deijs, and Lia van der Hoek

VIDISCA is a next-generation sequencing (NGS) library preparation method designed to enrich viral nucleic acids from samples before highly-multiplexed low depth sequencing. Reliable detection of known viruses and discovery of novel divergent viruses from NGS data require dedicated analysis tools that are both sensitive and accurate. Existing software was utilised to design a new bioinformatic workflow for high-throughput detection and discovery of viruses from VIDISCA data.

Published December 2018 in Virus Research


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Host switching pathogens, infectious outbreaks and zoonosis; a Marie Sklodowska-Curie Innovative Training Network.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 721367.