Antoine Zwaans

This paper introduces a Bayesian framework to improve phylogenetic inference from sparse lineage tracing data by modeling barcode loss, showing it enhances accuracy and recovers higher growth rates than standard filtering methods.

SciPhy estimates time-scaled phylogenies and cell population parameters from sequential genetic lineage tracing data using a Bayesian framework, showing improved accuracy over existing methods.

The paper uses single-cell whole-genome sequencing and Bayesian phylodynamic modeling to show colorectal tumors often originate decades before diagnosis and expand rapidly in the last two years.

The paper introduces GABI, a Bayesian framework in BEAST 2 for analyzing lineage tracing data, demonstrating its application to zebrafish development.