bioRxivGenomicsPreprint
LACHESIS: real-time inference of evolutionary trajectories of malignant transformation from whole-genome sequencing data
M Eggle, Anand MayakondaiD, Christoph BartenhageniD, Thomas HöferiD, Frank WestermanniD, Verena KörberiD
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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.
- organism: human
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- approach: statistical model
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