The landscape of persistent human DNA viruses in femoral bone.

@article{Toppinen2020TheLO,
  title={The landscape of persistent human DNA viruses in femoral bone.},
  author={Mari Toppinen and Diogo Pratas and Elina V{\"a}is{\"a}nen and Maria S{\"o}derlund-Venermo and Klaus Hedman and Maria Fernanda Perdomo and Antti Sajantila},
  journal={Forensic science international. Genetics},
  year={2020},
  volume={48},
  pages={
          102353
        }
}
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8 Citations
Background Citations
2
Methods Citations
4
Results Citations
2

8 Citations

The Human Bone Marrow Is Host to the DNAs of Several Viruses

A systematic analysis of the DNAs of 38 viruses in the BM detected viral DNA in 88.9% of the samples, up to five viruses in one individual, and the implications of persistent infections on the engraftment, regenerative capacity, and outcomes of bone marrow transplantation deserve in-depth evaluation.

Torque Teno Virus Primary Infection Kinetics in Early Childhood

TTV primary infections occur mainly after birth, and increase during the first two years with high intra- and interindividual variation in both DNA quantities and virus strains.

Detection of Low-Copy Human Virus DNA upon Prolonged Formalin Fixation

The data suggest that low-copy viral DNAs can be satisfactorily investigated from FFPE specimens, and encourages further examination of historical materials.

Herpesviruses, polyomaviruses, parvoviruses, papillomaviruses, and anelloviruses in vestibular schwannoma.

Findings show frequent persistence of anelloviruses, considered normal virome, in VS, and none of the other viruses showed an extensive presence, thereby suggesting insignificant role in VS.

Survey of Viral Reactivations in Elite Athletes: A Case-Control Study

The replication of persisting viruses as indicators of immune function in elite cross-country skiers after ten months of sustained high- performance exercise is investigated, arguing against impaired viral immunity due to high-performance exercise.

The complexity landscape of viral genomes

A comprehensive landscape of the viral genome’s complexity, identifying the most redundant and complex groups regarding their genome sequence while providing their distribution and characteristics at a large and local scale, and conceive a features-based classification methodology that can accurately distinguish viral genomes at different taxonomic levels without direct comparisons between sequences.

A semi-automatic methodology for analysing distributed and private biobanks

Efficient DNA sequence compression with neural networks

GeCo3, a new genomic sequence compressor that uses neural networks for mixing multiple context and substitution-tolerant context models, is created and benchmarked as a reference-free DNA compressor in 5 datasets.

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