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Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
by
FARRELL, MAXWELL J.
, BECKER, DANIEL J.
, RYAN, SADIE J.
, CONNOR, RYAN
, DALLAS, TAD A.
, GIBB, RORY
, SWEENY, AMY
, ALBERY, GREGORY F.
, BRIERLEY, LIAM
, CARLSON, COLIN J.
, POISOT, TIMOTHÉE
, ESKEW, EVAN A.
, RASMUSSEN, ANGELA L.
in
Database Management Systems
/ Datasets
/ Ecology
/ Overview Articles
/ Synthesis
/ Viruses
/ Zoonoses
2021
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Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
by
FARRELL, MAXWELL J.
, BECKER, DANIEL J.
, RYAN, SADIE J.
, CONNOR, RYAN
, DALLAS, TAD A.
, GIBB, RORY
, SWEENY, AMY
, ALBERY, GREGORY F.
, BRIERLEY, LIAM
, CARLSON, COLIN J.
, POISOT, TIMOTHÉE
, ESKEW, EVAN A.
, RASMUSSEN, ANGELA L.
in
Database Management Systems
/ Datasets
/ Ecology
/ Overview Articles
/ Synthesis
/ Viruses
/ Zoonoses
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
by
FARRELL, MAXWELL J.
, BECKER, DANIEL J.
, RYAN, SADIE J.
, CONNOR, RYAN
, DALLAS, TAD A.
, GIBB, RORY
, SWEENY, AMY
, ALBERY, GREGORY F.
, BRIERLEY, LIAM
, CARLSON, COLIN J.
, POISOT, TIMOTHÉE
, ESKEW, EVAN A.
, RASMUSSEN, ANGELA L.
in
Database Management Systems
/ Datasets
/ Ecology
/ Overview Articles
/ Synthesis
/ Viruses
/ Zoonoses
2021
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Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
Journal Article
Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
2021
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Overview
The fields of viral ecology and evolution are rapidly expanding, motivated in part by concerns around emerging zoonoses. One consequence is the proliferation of host–virus association data, which underpin viral macroecology and zoonotic risk prediction but remain fragmented across numerous data portals. In the present article, we propose that synthesis of host–virus data is a central challenge to characterize the global virome and develop foundational theory in viral ecology. To illustrate this, we build an open database of mammal host–virus associations that reconciles four published data sets. We show that this offers a substantially richer view of the known virome than any individual source data set but also that databases such as these risk becoming out of date as viral discovery accelerates. We argue for a shift in practice toward the development, incremental updating, and use of synthetic data sets in viral ecology, to improve replicability and facilitate work to predict the structure and dynamics of the global virome.
Publisher
Oxford University Press
Subject
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