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An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery

Recent advances in sequencing technologies have opened the door for the classification of the human virome. While taxonomic classification can be applied to the viruses identified in such studies, this gives no information as to the type of interaction the virus has with the host. As follow-up studi...

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Detalles Bibliográficos
Autor principal: Parker, Michael T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: YJBM 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045143/
https://www.ncbi.nlm.nih.gov/pubmed/27698618
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author Parker, Michael T.
author_facet Parker, Michael T.
author_sort Parker, Michael T.
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description Recent advances in sequencing technologies have opened the door for the classification of the human virome. While taxonomic classification can be applied to the viruses identified in such studies, this gives no information as to the type of interaction the virus has with the host. As follow-up studies are performed to address these questions, the description of these virus-host interactions would be greatly enriched by applying a standard set of definitions that typify them. This paper describes a framework with which all members of the human virome can be classified based on principles of ecology. The scaffold not only enables categorization of the human virome, but can also inform research aimed at identifying novel virus-host interactions.
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spelling pubmed-50451432016-10-03 An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery Parker, Michael T. Yale J Biol Med Review Recent advances in sequencing technologies have opened the door for the classification of the human virome. While taxonomic classification can be applied to the viruses identified in such studies, this gives no information as to the type of interaction the virus has with the host. As follow-up studies are performed to address these questions, the description of these virus-host interactions would be greatly enriched by applying a standard set of definitions that typify them. This paper describes a framework with which all members of the human virome can be classified based on principles of ecology. The scaffold not only enables categorization of the human virome, but can also inform research aimed at identifying novel virus-host interactions. YJBM 2016-09-30 /pmc/articles/PMC5045143/ /pubmed/27698618 Text en Copyright ©2016, Yale Journal of Biology and Medicine https://creativecommons.org/licenses/by-nc/3.0/ This is an open access article distributed under the terms of the Creative Commons CC BY-NC license, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes.
spellingShingle Review
Parker, Michael T.
An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title_full An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title_fullStr An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title_full_unstemmed An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title_short An Ecological Framework of the Human Virome Provides Classification of Current Knowledge and Identifies Areas of Forthcoming Discovery
title_sort ecological framework of the human virome provides classification of current knowledge and identifies areas of forthcoming discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045143/
https://www.ncbi.nlm.nih.gov/pubmed/27698618
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