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PreprintCC BYbioRxiv

High-performance xenograft read-sorting for DNA methylation analysis

  1. 1Saarland University

Abstract

Xenograft sorting tools separate sequenced DNA reads by species. We have enhanced the computational method and tool Xengsort to enable efficient epigenetic profiling of patient-derived xenograft models; it now supports cytosine-converted whole genome or reduced-representation data. Benchmarking Xengsort against several established methods (ICRG, bamcmp, XenofilteR) revealed consistently high accuracy across tools, but Xengsort outperformed the other tools in computational efficiency due to its alignment-free design.

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BibTeX
@misc{altendorfer2026highperformance,
  title = {{High-performance xenograft read-sorting for DNA methylation analysis}},
  author = {S. Altendorfer and J. Zentgraf and J. E. Schmitz and C. Plass and C. Gerhauser and S. Rahmann},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.06.756952},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.06.756952v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - High-performance xenograft read-sorting for DNA methylation analysis
AU  - S. Altendorfer
AU  - J. Zentgraf
AU  - J. E. Schmitz
AU  - C. Plass
AU  - C. Gerhauser
AU  - S. Rahmann
PY  - 2026
DA  - 2026/10/06
PB  - bioRxiv
DO  - 10.64898/2026.10.06.756952
UR  - https://www.biorxiv.org/content/10.64898/2026.10.06.756952v1
AB  - Xenograft sorting tools separate sequenced DNA reads by species. We have enhanced the computational method and tool Xengsort to enable efficient epigenetic profiling of patient-derived xenograft models; it now supports cytosine-converted whole genome or reduced-representation data. Benchmarking Xengsort against several established methods (ICRG, bamcmp, XenofilteR) revealed consistently high accuracy across tools, but Xengsort outperformed the other tools in computational efficiency due to its alignment-free design.
ER  -