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Oxford University Press, Bioinformatics, 18(35), p. 3517-3519, 2019

DOI: 10.1093/bioinformatics/btz078

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PROSSTT: probabilistic simulation of single-cell RNA-seq data for complex differentiation processes

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Abstract Summary Cellular lineage trees can be derived from single-cell RNA sequencing snapshots of differentiating cells. Currently, only datasets with simple topologies are available. To test and further develop tools for lineage tree reconstruction, we need test datasets with known complex topologies. 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 and implementation https://github.com/soedinglab/prosstt. Supplementary information Supplementary data are available at Bioinformatics online.