About: Viral bioinformatics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Viral bioinformatics
Creator	Lengauer, T Lundegaard, C Adams, B Mchardy, A
Source	PMC
abstract	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.
has issue date	2009-10-01(xsd:dateTime)
bibo:doi	10.1007/978-3-211-75123-7_19
has license	no-cc
sha1sum (hex)	6fbb2cef881d55ad54ce9a16d1d0400f279bda2c
schema:url	https://doi.org/10.1007/978-3-211-75123-7_19
resource representing a document's title	Viral bioinformatics
has PubMed Central identifier	PMC7121286
schema:publication	Modern Genome Annotation
resource representing a document's body	covid:6fbb2cef881d55ad54ce9a16d1d0400f279bda2c#body_text
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