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About:
Novel NGS Pipeline for Virus Discovery from a Wide Spectrum of Hosts and Sample Types
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Novel NGS Pipeline for Virus Discovery from a Wide Spectrum of Hosts and Sample Types
Creator
Vapalahti, Olli
Smura, Teemu
Jääskeläinen, Anne
Kant, Ravi
Sironen, Tarja
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source
BioRxiv
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 e.g. 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 stand-alone 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.
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2020-05-08
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bibo:doi
10.1101/2020.05.07.082107
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biorxiv
sha1sum (hex)
2a13d7555c9b704a6603a715c112229dbf03a2e8
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https://doi.org/10.1101/2020.05.07.082107
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Novel NGS Pipeline for Virus Discovery from a Wide Spectrum of Hosts and Sample Types
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bioRxiv
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covid:2a13d7555c9b704a6603a715c112229dbf03a2e8#body_text
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named entity 'scripts'
named entity 'discovery'
named entity 'virus'
named entity 'metagenomic'
named entity 'availability'
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