Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings (opens in new tab)

Author summary Novel technologies provide means to trace the development of cell populations over time by introducing heritable and editable genetic sequences that record lineage information in the cells’ genome. Reconstructing a population’s history from such sequences sparsely sampled at a single time point is, however, computationally challenging. In this work, we use simulations and statistical inference to evaluate how accurately we can recover the relationships among cells and estimate ...