Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.23.212787v1?rss=1 Authors: Espinoza, D. A., Mortlock, R. D., Koelle, S. J., Wu, C., Dunbar, C. E. Abstract: Clonal tracking methods provide quantitative insights into the cellular output of genetically labelled progenitor cells across time and cellular compartments. However, the absence of a toolbox by which to interrogate these data has precluded the development of standardized analytical frameworks within the field. Thus, we developed barcodetrackR, an R package that provides users with tools for the analysis and visualization of clonal dynamics across time and cellular compartments in clonal tracking experiments. Here, we demonstrate the utility of barcodetrackR in exploring longitudinal clonal patterns and lineage relationships in the context of clonal tracking studies of hematopoietic stem and progenitor cells. Copy rights belong to original authors. Visit the link for more info