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  • center
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  • tool
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  • Associate Professor
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  • Clinical Research Nurse
  • Clinician Researcher
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  • Lab assistant
  • Master Student
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  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
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  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
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© Research
Publication : Methods in molecular biology (Clifton, N.J.)

Computational Methods for the Discovery and Annotation of Viral Integrations.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Methods in molecular biology (Clifton, N.J.) - 01 Jan 2022

Palatini U, Pischedda E, Bonizzoni M,

Link to Pubmed [PMID] – 35796971

Link to DOI – 10.1007/978-1-0716-2380-0_18

Methods Mol Biol 2022 ; 2509(): 293-313

The transfer of genetic material between viruses and eukaryotic cells is pervasive. Somatic integrations of DNA viruses and retroviruses have been linked to persistent viral infection and genotoxic effects. Integrations into germline cells, referred to as Endogenous Viral Elements (EVEs), can be co-opted for host functions. Besides DNA viruses and retroviruses, EVEs can also derive from nonretroviral RNA viruses, which have often been observed in piRNA clusters. Here, we describe a bioinformatic framework to annotate EVEs in a genome assembly, study their widespread occurrence and polymorphism and identify sample-specific viral integrations using whole genome sequencing data.