LACHESIS: real-time inference of evolutionary trajectories of malignant transformation from whole-genome sequencing data

Eggle, M.; Mayakonda, A.; Bartenhagen, C.; Hofer, T.; Westermann, F.; Korber, V.

doi:10.64898/2026.07.24.740074

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bioRxiv · 10.64898/2026.07.24.740074

LACHESIS: real-time inference of evolutionary trajectories of malignant transformation from whole-genome sequencing data

Eggle, M.·Mayakonda, A.·Bartenhagen, C.·Hofer, T.·Westermann, F.·Korber, V.

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Abstract

Computational tools for phylogenetic inference of early tumor evolution in real time are currently lacking. We present LACHESIS, a standardized R package and Shiny app that times early and most recent common ancestors of individual tumors from whole-genome sequencing data. LACHESIS automates mutational signature-aware molecular clock modeling for trajectory reconstruction and evolution-based risk stratification. We validate its utility for childhood and adult malignancies, providing a broadly applicable pan-cancer workflow.

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Eggle, M., Mayakonda, A., Bartenhagen, C., Hofer, T., Westermann, F., Korber, V.. 2026-07-24. LACHESIS: real-time inference of evolutionary trajectories of malignant transformation from whole-genome sequencing data. https://doi.org/10.64898/2026.07.24.740074

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