How can we infer precise differentiation trajectories for complex biological systems? We're addressing this question with moslin, our new algorithm combining state & lineage information to link cells across time @mor_nitzan @fabian_theis 🧵 1/18 --> biorxiv.org/content/10.110… This work grew out of my 2021 lab exchange with the Nitzan lab @mor_nitzan . I teamed up with these fantastic people to co-lead the project: @zoe_piran from Mor's lab, Michal Klein from Apple and Bastiaan Spanjaard from Jan Philipp Junkers lab @MDC_Berlin @BIMSB_MDC 2/18

Finally published in @naturemethods: CellRank for directed #SingleCell fate mapping, our take on studying cellular dynamics using RNA velocity. Fantastic collab between labs of @dana_peer @sloan_kettering and @fabian_theis @HelmholtzMunich, read at go.nature.com/3Fm17lt. 1/17 Motivation: scRNA-seq is great to study cellular heterogeneity, but its application to continuous processes is limited by the fact that cells are destroyed upon sequencing. Hence, we obtain many genes across many cells, but only through static snapshots. 2/17