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Open AccessJournal ArticleDOI

Minimum information about an uncultivated virus genome (MIUVIG)

Simon Roux, +63 more
- 01 Jan 2019 - 
- Vol. 37, Iss: 1, pp 29-37
TLDR
The MIUViG (Minimum Information about an Uncultivated Virus Genome) as mentioned in this paper standard was developed within the Genomic Standards Consortium framework and includes virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction.
Abstract
We present an extension of the Minimum Information about any (x) Sequence (MIxS) standard for reporting sequences of uncultivated virus genomes. Minimum Information about an Uncultivated Virus Genome (MIUViG) standards were developed within the Genomic Standards Consortium framework and include virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction. Community-wide adoption of MIUViG standards, which complement the Minimum Information about a Single Amplified Genome (MISAG) and Metagenome-Assembled Genome (MIMAG) standards for uncultivated bacteria and archaea, will improve the reporting of uncultivated virus genomes in public databases. In turn, this should enable more robust comparative studies and a systematic exploration of the global virosphere.

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Marine DNA Viral Macro- and Microdiversity from Pole to Pole.

TL;DR: An ∼12-fold expanded global ocean DNA virome dataset is established of 195,728 viral populations, now including the Arctic Ocean, and it is validated that these populations form discrete genotypic clusters.
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VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences.

TL;DR: VIBRANT is the first method to utilize a hybrid machine learning and protein similarity approach that is not reliant on sequence features for automated recovery and annotation of viruses, determination of genome quality and completeness, and characterization of viral community function from metagenomic assemblies.
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CheckV assesses the quality and completeness of metagenome-assembled viral genomes.

TL;DR: CheckV as discussed by the authors is an automated pipeline for identifying closed closed viral genomes, estimating the completeness of genome fragments and removing flanking host regions from integrated proviruses, which significantly improves the accuracy of identification of auxiliary metabolic genes and interpretation of viral-encoded functions.
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VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses.

TL;DR: VirSorter2 as mentioned in this paper is a DNA and RNA virus identification tool that leverages genome-informed database advances across a collection of customized automatic classifiers to improve the accuracy and range of virus sequence detection.
References
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