MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.

Drag MH, Hvilsom C, Poulsen LL, Jensen HE, Tahas SA, Leineweber C, Cray C, Bertelsen MF, Bojesen AM

Open source

DOI
10.1128/jcm.01054-25
Published
2026 Jun 10
Container
Journal of clinical microbiology
Publisher
Zenodo
Open access
yes

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BibTeX

@article{allodium:10.1128/jcm.01054-25,
  title = {MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.},
  author = {Drag MH and Hvilsom C and Poulsen LL and Jensen HE and Tahas SA and Leineweber C and Cray C and Bertelsen MF and Bojesen AM},
  year = {2026},
  journal = {Journal of clinical microbiology},
  doi = {10.1128/jcm.01054-25},
  url = {https://doi.org/10.1128/jcm.01054-25}
}

RIS

TY  - JOUR
TI  - MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.
AU  - Drag MH
AU  - Hvilsom C
AU  - Poulsen LL
AU  - Jensen HE
AU  - Tahas SA
AU  - Leineweber C
AU  - Cray C
AU  - Bertelsen MF
AU  - Bojesen AM
PY  - 2026
JO  - Journal of clinical microbiology
DO  - 10.1128/jcm.01054-25
UR  - https://doi.org/10.1128/jcm.01054-25
ER  - 

APA

MH, D., C, H., LL, P., HE, J., SA, T., C, L., C, C., MF, B., & AM, B. (2026). MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.. Journal of clinical microbiology. https://doi.org/10.1128/jcm.01054-25

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