PreprintCC BYbioRxiv
High-performance xenograft read-sorting for DNA methylation analysis
- 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 -