ArticleMethods in molecular biology (Clifton, N.J.)2022
Computational Methods for the Discovery and Annotation of Viral Integrations.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Insights on the sex determination, vector capacity and ecological biology from a chromosomal level genome of vector mosquito, Armigeres subulbatus.Infectious diseases of poverty · 2025Article
- detectEVE: Fast, Sensitive and Precise Detection of Endogenous Viral Elements in Genomic Data.Molecular ecology resources · 2025Article
- Endogenous viral elements: insights into data availability and accessibility.Virus evolution · 2024Article
- Endogenous Viral Elements in Ixodid Tick Genomes.Viruses · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
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