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PLoS One. 2015 Jun 22;10(6):e0129059. doi: 10.1371/journal.pone.0129059. eCollection 2015.

Host Subtraction, Filtering and Assembly Validations for Novel Viral Discovery Using Next Generation Sequencing Data.

Author information

1
Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
2
The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom.
3
Institute of Liver Studies, King's College Hospital, Denmark Hill, London, SE59RS, United Kingdom.

Abstract

The use of next generation sequencing (NGS) to identify novel viral sequences from eukaryotic tissue samples is challenging. Issues can include the low proportion and copy number of viral reads and the high number of contigs (post-assembly), making subsequent viral analysis difficult. Comparison of assembly algorithms with pre-assembly host-mapping subtraction using a short-read mapping tool, a k-mer frequency based filter and a low complexity filter, has been validated for viral discovery with Illumina data derived from naturally infected liver tissue and simulated data. Assembled contig numbers were significantly reduced (up to 99.97%) by the application of these pre-assembly filtering methods. This approach provides a validated method for maximizing viral contig size as well as reducing the total number of assembled contigs that require down-stream analysis as putative viral nucleic acids.

PMID:
26098299
PMCID:
PMC4476701
DOI:
10.1371/journal.pone.0129059
[Indexed for MEDLINE]
Free PMC Article

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