Publication | Open Access
Slingshot: Cell lineage and pseudotime inference for single-cell transcriptomics
284
Citations
14
References
2017
Year
Unknown Venue
EngineeringGeneticsAbstract Single-cell TranscriptomicsMultiomicsTranscriptomics TechnologyGenomicsTrajectory AnalysisSingle Cell SequencingPseudotime InferenceTranscriptomicsMultiple Branching LineagesComplex CommunitiesCell DivisionSingle-cell GenomicsGene ExpressionSingle-cell AnalysisFunctional GenomicsCell BiologyBioinformaticsCell LineageDevelopmental BiologyComputational BiologySingle-cell BiologyStem Cell ResearchSystems BiologyMedicine
Abstract Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. These methods can be applied to stem cells and their descendants in order to chart the progression from multipotent progenitors to fully differentiated cells. While a number of statistical and computational methods have been proposed for analyzing cell lineages, the problem of accurately characterizing multiple branching lineages remains difficult to solve. Here, we introduce a novel method, Slingshot, for inferring multiple developmental lineages from single-cell gene expression data. Slingshot is a uniquely robust and flexible tool for inferring developmental lineages and ordering cells to reflect continuous, branching processes.
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