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Opportunities and Challenges of Data-Driven Virus Discovery
Virus discovery has been fueled by new technologies ever since the first viruses were discovered at the end of the 19th century. Starting with mechanical devices that provided evidence for virus presence in sick hosts, virus discovery gradually transitioned into a sequence-based scientific disciplin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406072/ https://www.ncbi.nlm.nih.gov/pubmed/36008967 http://dx.doi.org/10.3390/biom12081073 |
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author | Lauber, Chris Seitz, Stefan |
author_facet | Lauber, Chris Seitz, Stefan |
author_sort | Lauber, Chris |
collection | PubMed |
description | Virus discovery has been fueled by new technologies ever since the first viruses were discovered at the end of the 19th century. Starting with mechanical devices that provided evidence for virus presence in sick hosts, virus discovery gradually transitioned into a sequence-based scientific discipline, which, nowadays, can characterize virus identity and explore viral diversity at an unprecedented resolution and depth. Sequencing technologies are now being used routinely and at ever-increasing scales, producing an avalanche of novel viral sequences found in a multitude of organisms and environments. In this perspective article, we argue that virus discovery has started to undergo another transformation prompted by the emergence of new approaches that are sequence data-centered and primarily computational, setting them apart from previous technology-driven innovations. The data-driven virus discovery approach is largely uncoupled from the collection and processing of biological samples, and exploits the availability of massive amounts of publicly and freely accessible data from sequencing archives. We discuss open challenges to be solved in order to unlock the full potential of data-driven virus discovery, and we highlight the benefits it can bring to classical (mostly molecular) virology and molecular biology in general. |
format | Online Article Text |
id | pubmed-9406072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94060722022-08-26 Opportunities and Challenges of Data-Driven Virus Discovery Lauber, Chris Seitz, Stefan Biomolecules Perspective Virus discovery has been fueled by new technologies ever since the first viruses were discovered at the end of the 19th century. Starting with mechanical devices that provided evidence for virus presence in sick hosts, virus discovery gradually transitioned into a sequence-based scientific discipline, which, nowadays, can characterize virus identity and explore viral diversity at an unprecedented resolution and depth. Sequencing technologies are now being used routinely and at ever-increasing scales, producing an avalanche of novel viral sequences found in a multitude of organisms and environments. In this perspective article, we argue that virus discovery has started to undergo another transformation prompted by the emergence of new approaches that are sequence data-centered and primarily computational, setting them apart from previous technology-driven innovations. The data-driven virus discovery approach is largely uncoupled from the collection and processing of biological samples, and exploits the availability of massive amounts of publicly and freely accessible data from sequencing archives. We discuss open challenges to be solved in order to unlock the full potential of data-driven virus discovery, and we highlight the benefits it can bring to classical (mostly molecular) virology and molecular biology in general. MDPI 2022-08-04 /pmc/articles/PMC9406072/ /pubmed/36008967 http://dx.doi.org/10.3390/biom12081073 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Lauber, Chris Seitz, Stefan Opportunities and Challenges of Data-Driven Virus Discovery |
title | Opportunities and Challenges of Data-Driven Virus Discovery |
title_full | Opportunities and Challenges of Data-Driven Virus Discovery |
title_fullStr | Opportunities and Challenges of Data-Driven Virus Discovery |
title_full_unstemmed | Opportunities and Challenges of Data-Driven Virus Discovery |
title_short | Opportunities and Challenges of Data-Driven Virus Discovery |
title_sort | opportunities and challenges of data-driven virus discovery |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406072/ https://www.ncbi.nlm.nih.gov/pubmed/36008967 http://dx.doi.org/10.3390/biom12081073 |
work_keys_str_mv | AT lauberchris opportunitiesandchallengesofdatadrivenvirusdiscovery AT seitzstefan opportunitiesandchallengesofdatadrivenvirusdiscovery |