Sign in
BioinformaticsbioRxiv
Preprint

High-performance xenograft read-sorting for DNA methylation analysis

Stefan AltendorferiD, Jens ZentgrafiD, Johanna Elena SchmitziD, Christoph PlassiD, Clarissa GerhäuseriD, Sven RahmanniD

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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZentgraf '21Rusch '20Strope '24Lee '23Wang '22Kim '26
72% semantic matchBioinformatics
Jens Zentgraf, Sven Rahmann·Algorithms for Molecular Biology·Apr 2, 2021· 38 citations