henhaobio
Sign in

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

PDFDOI
Citations
0

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.

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
THISLee '20Cao '25Caravagna '18Rubanova '19Hodzic '20Ramazzotti '21
61% semantic matchCancer Biology
N. D. Lee, I. Bozic·bioRxiv·Nov 18, 2020