Before revision:  The excellent performance of the method opens the possibility to apply resampling and to approximate complex data structures via principal graph ensembles which can be used to construct consensus principal graphs. ElPiGraph is currently implemented in five programming languages and accompanied by a graphical user interface, which makes it a versatile tool to deal with complex data in various fields from molecular biology, where it can be used to infer pseudo-time trajectories from single-cell RNASeq , to astronomy, where it can be used to approximate complex structures in the distribution of galaxies.
After revision:  The excellent performance of the method opens the possibility to apply resampling and to approximate complex data structures via principal graph ensembles that can be combined into a consensus principal graph. ElPiGraph deals efficiently with large and complex datasets in various fields from molecular biology, where it can be used to infer pseudo-time trajectories from single-cell RNASeq , to astronomy, where it can be used to approximate complex structures in the distribution of galaxies.