Efficient Algorithms Unlock Understanding of Clonal Evolution in Cancer.

In this issue of Blood Cancer Discovery, Wintersinger and colleagues present a new algorithm for quickly and accurately inferring clonal phylogenies from heterogeneous tumors sampled at many timepoints and/or many sites. When coupled with serial sequencing of tumors, this advance promises to increase our understanding of the clonal dynamics that shape tumor evolution and response to therapy. See related article by Wintersinger et al., p. 208 (9).