Evidence map›Paper›PMID 33408878›Full record

ArticleVirus evolution2020

Novel NGS pipeline for virus discovery from a wide spectrum of hosts and sample types.

Ilya Plyusnin, Ravi Kant, Anne J Jääskeläinen, Tarja Sironen, Liisa Holm, Olli Vapalahti, Teemu Smura

Abstract read
In one paragraph

Article in Virus evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

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  5. RNA sequencing analysis of viromes ofProceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors.

Ilya PlyusninInstitute of Biotechnology, University of Helsinki, Helsinki 00014, Finland.ORCID 0000-0001-5988-0901
Ravi KantDepartment of Veterinary Bioscience, University of Helsinki, Helsinki 00014, Finland.
Anne J JääskeläinenDepartment of Virology and Immunology, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland.
Tarja SironenDepartment of Veterinary Bioscience, University of Helsinki, Helsinki 00014, Finland.
Liisa HolmInstitute of Biotechnology, University of Helsinki, Helsinki 00014, Finland.
Olli VapalahtiDepartment of Veterinary Bioscience, University of Helsinki, Helsinki 00014, Finland.
Teemu SmuraDepartment of Virology, University of Helsinki, Helsinki 00014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of the microbiome data holds great potential for elucidating the biological and metabolic functioning of living organisms and their role in the environment. Metagenomic analyses have shown that humans, along with for example, domestic animals, wildlife and arthropods, are colonized by an immense community of viruses. The current Coronavirus pandemic (COVID-19) heightens the need to rapidly detect previously unknown viruses in an unbiased way. The increasing availability of metagenomic data in this era of next-generation sequencing (NGS), along with increasingly affordable sequencing technologies, highlight the need for reliable and comprehensive methods to manage such data. In this article, we present a novel bioinformatics pipeline called LAZYPIPE for identifying both previously known and novel viruses in host associated or environmental samples and give examples of virus discovery based on it. LAZYPIPE is a Unix-based pipeline for automated assembling and taxonomic profiling of NGS libraries implemented as a collection of C++, Perl, and R scripts.

Indexed as

bioinformatics pipelineNGS data analysistaxonomic profilingviral metagenomicsviromevirus discovery

Identifiers

PMID33408878
PMCPMC7772471

What OpenQuestion holds

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Registered trials

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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.