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Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”

Computer-assisted technologies of the genomic structure, biological function, and evolution of viruses remain a largely neglected area of research. The attention of bioinformaticians to this challenging field is currently unsatisfying in respect to its medical and biological importance. The power of...

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Detalles Bibliográficos
Autores principales: Hölzer, Martin, Marz, Manja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172532/
https://www.ncbi.nlm.nih.gov/pubmed/29029728
http://dx.doi.org/10.1016/bs.aivir.2017.08.004
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author Hölzer, Martin
Marz, Manja
author_facet Hölzer, Martin
Marz, Manja
author_sort Hölzer, Martin
collection PubMed
description Computer-assisted technologies of the genomic structure, biological function, and evolution of viruses remain a largely neglected area of research. The attention of bioinformaticians to this challenging field is currently unsatisfying in respect to its medical and biological importance. The power of new genome sequencing technologies, associated with new tools to handle “big data”, provides unprecedented opportunities to address fundamental questions in virology. Here, we present an overview of the current technologies, challenges, and advantages of Next-Generation Sequencing (NGS) in relation to the field of virology. We present how viral sequences can be detected de novo out of current short-read NGS data. Furthermore, we discuss the challenges and applications of viral quasispecies and how secondary structures, commonly shaped by RNA viruses, can be computationally predicted. The phylogenetic analysis of viruses, as another ubiquitous field in virology, forms an essential element of describing viral epidemics and challenges current algorithms. Recently, the first specialized virus-bioinformatic organizations have been established. We need to bring together virologists and bioinformaticians and provide a platform for the implementation of interdisciplinary collaborative projects at local and international scales. Above all, there is an urgent need for dedicated software tools to tackle various challenges in virology.
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spelling pubmed-71725322020-04-22 Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral” Hölzer, Martin Marz, Manja Adv Virus Res Article Computer-assisted technologies of the genomic structure, biological function, and evolution of viruses remain a largely neglected area of research. The attention of bioinformaticians to this challenging field is currently unsatisfying in respect to its medical and biological importance. The power of new genome sequencing technologies, associated with new tools to handle “big data”, provides unprecedented opportunities to address fundamental questions in virology. Here, we present an overview of the current technologies, challenges, and advantages of Next-Generation Sequencing (NGS) in relation to the field of virology. We present how viral sequences can be detected de novo out of current short-read NGS data. Furthermore, we discuss the challenges and applications of viral quasispecies and how secondary structures, commonly shaped by RNA viruses, can be computationally predicted. The phylogenetic analysis of viruses, as another ubiquitous field in virology, forms an essential element of describing viral epidemics and challenges current algorithms. Recently, the first specialized virus-bioinformatic organizations have been established. We need to bring together virologists and bioinformaticians and provide a platform for the implementation of interdisciplinary collaborative projects at local and international scales. Above all, there is an urgent need for dedicated software tools to tackle various challenges in virology. Elsevier Inc. 2017 2017-09-28 /pmc/articles/PMC7172532/ /pubmed/29029728 http://dx.doi.org/10.1016/bs.aivir.2017.08.004 Text en Copyright © 2017 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Hölzer, Martin
Marz, Manja
Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title_full Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title_fullStr Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title_full_unstemmed Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title_short Software Dedicated to Virus Sequence Analysis “Bioinformatics Goes Viral”
title_sort software dedicated to virus sequence analysis “bioinformatics goes viral”
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172532/
https://www.ncbi.nlm.nih.gov/pubmed/29029728
http://dx.doi.org/10.1016/bs.aivir.2017.08.004
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