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ZENODO
Preprint . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2024
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2024
License: CC BY
Data sources: Datacite
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Improving the reporting of metagenomic virome-scale data

Authors: Chang, Wei-shan; Harvey, Erin; Mahar, Jackie; Geoghegan, Jemma; Firth, Cadhla; Shi, Mang; Simon-Loriere, Etienne; +2 Authors

Improving the reporting of metagenomic virome-scale data

Abstract

Over the last decade metagenomic sequencing has facilitated an increasing number of virome-scale studies, in turn leading to an exponential expansion in understanding of virus diversity. This is partially driven by the decreasing costs of metagenomic sequencing, improvements in computational tools for revealing novel viruses, and an increased understanding of the key role that viruses play in human and animal health. A central concern associated with this remarkable increase in the number of virome-scale studies is the lack of broadly accepted “gold standards” for reporting the data and results generated. This is of particular importance for animal virome studies as there are a multitude of nuanced approaches for both data presentation and analysis, all of which impact the resulting outcomes. As such, the results of published studies can be difficult to contextualise and may be of reduced utility due to reporting deficiencies. Herein, we aim to address these reporting deficiencies by outlining recommendations for the presentation of virome data, encouraging a transparent communication of findings that can be interpreted in evolutionary and ecological contexts.

Related Organizations
Keywords

meta-transcriptomics, virome, virus discovery, virome-scale

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green