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Viral bioinformatics

Pathogens have presented a major challenge to individuals and populations of living organisms, probably as long as there has been life on earth. They are a prime object of study for at least three reasons: (1) Understanding the way of pathogens affords the basis for preventing and treating the disea...

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Detalles Bibliográficos
Autores principales: Adams, B., McHardy, A. Carolyn, Lundegaard, C., Lengauer, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121286/
http://dx.doi.org/10.1007/978-3-211-75123-7_19
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author Adams, B.
McHardy, A. Carolyn
Lundegaard, C.
Lengauer, T.
author_facet Adams, B.
McHardy, A. Carolyn
Lundegaard, C.
Lengauer, T.
author_sort Adams, B.
collection PubMed
description Pathogens have presented a major challenge to individuals and populations of living organisms, probably as long as there has been life on earth. They are a prime object of study for at least three reasons: (1) Understanding the way of pathogens affords the basis for preventing and treating the diseases they cause. (2) The interactions of pathogens with their hosts afford valuable insights into the working of the hosts’ cells, in general, and of the host’s immune system, in particular. (3) The co-evolution of pathogens and their hosts allows for transferring knowledge across the two interacting species and affords valuable insights into how evolution works, in general. In the past decade computational biology has started to contribute to the understanding of host-pathogen interaction in at least three ways which are summarized in the subsequent sections of this chapter.
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spelling pubmed-71212862020-04-06 Viral bioinformatics Adams, B. McHardy, A. Carolyn Lundegaard, C. Lengauer, T. Modern Genome Annotation Article Pathogens have presented a major challenge to individuals and populations of living organisms, probably as long as there has been life on earth. They are a prime object of study for at least three reasons: (1) Understanding the way of pathogens affords the basis for preventing and treating the diseases they cause. (2) The interactions of pathogens with their hosts afford valuable insights into the working of the hosts’ cells, in general, and of the host’s immune system, in particular. (3) The co-evolution of pathogens and their hosts allows for transferring knowledge across the two interacting species and affords valuable insights into how evolution works, in general. In the past decade computational biology has started to contribute to the understanding of host-pathogen interaction in at least three ways which are summarized in the subsequent sections of this chapter. 2009-10-01 /pmc/articles/PMC7121286/ http://dx.doi.org/10.1007/978-3-211-75123-7_19 Text en © Springer-Verlag/Wien 2008 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Adams, B.
McHardy, A. Carolyn
Lundegaard, C.
Lengauer, T.
Viral bioinformatics
title Viral bioinformatics
title_full Viral bioinformatics
title_fullStr Viral bioinformatics
title_full_unstemmed Viral bioinformatics
title_short Viral bioinformatics
title_sort viral bioinformatics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121286/
http://dx.doi.org/10.1007/978-3-211-75123-7_19
work_keys_str_mv AT adamsb viralbioinformatics
AT mchardyacarolyn viralbioinformatics
AT lundegaardc viralbioinformatics
AT lengauert viralbioinformatics