Evidence map›Paper›PMID 26098299›Full record

ArticlePloS one2015

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

Gordon M Daly, Richard M Leggett, William Rowe, Samuel Stubbs, Maxim Wilkinson, Ricardo H Ramirez-Gonzalez, Mario Caccamo, William Bernal, Jonathan L Heeney

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  4. mSphere · 2021
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  8. Review
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  15. A draft genome sequence for theF1000Research · 2018
    Article
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  18. Review
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Gordon M DalyLab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
Richard M LeggettThe Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom.
William RoweLab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
Samuel StubbsLab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
Maxim WilkinsonLab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
Ricardo H Ramirez-GonzalezThe Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom.
Mario CaccamoThe Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom.
William BernalInstitute of Liver Studies, King's College Hospital, Denmark Hill, London, SE59RS, United Kingdom.
Jonathan L HeeneyLab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom.
University of Cambridge · GBEarlham Institute · GBKing's College Hospital · GBNorwich Research Park · GB

Funding

Wellcome TrustWellcome Trust 091501
6 · The paper itself

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.

Indexed as

AlgorithmsContig MappingDNA ContaminationDNA, ViralHigh-Throughput Nucleotide SequencingHumansLiverSequence Analysis, DNADNA, Viral

Identifiers

PMID26098299
PMCPMC4476701
OpenAlexW855819222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.