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Computational methods for the discovery and annotation of viral integrations
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Abstract
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.
Title: Computational methods for the discovery and annotation of viral integrations
Description:
Abstract
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.
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