TY - JOUR T1 - PROSSTT: probabilistic simulation of single-cell RNA-seq data for complex differentiation processes JF - bioRxiv DO - 10.1101/256941 SP - 256941 AU - Nikolaos Papadopoulos AU - R. Gonzalo Parra AU - Johannes Söding Y1 - 2018/01/01 UR - http://biorxiv.org/content/early/2018/01/31/256941.abstract N2 - Background Single-cell RNA sequencing (scRNA-seq) is an enabling technology for the study of cellular differentiation and heterogeneity. From snapshots of the transcriptomic profiles of differentiating single cells, the cellular lineage tree that leads from a progenitor population to multiple types of differentiated cells can be derived. The underlying lineage trees of most published datasets are linear or have a single branchpoint, but many studies with more complex lineage trees will soon become available. To test and further develop tools for lineage tree reconstruction, we need test datasets with known trees.Results PROSSTT can simulate scRNA-seq datasets for differentiation processes with lineage trees of any desired complexity, noise level, noise model, and size. PROSSTT also provides scripts to quantify the quality of predicted lineage trees.Availability https://github.org/soedinglab/prossttContact soeding{at}mpibpc.mpg.de ER -