bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 23 citations · 41 references
Life SciencesCell BiologyDevelopmental BiologyComputational BiologyMolecular Cell BiologySingle-cell Systems BiologyCell-fate DynamicsSingle-cell AnalysisSingle-cell GenomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsTrajectory InferenceDynamic ProcessesMulti-modal Single-cell AnalysisMultimodal Single-cell AnalysisRna VelocitySingle-cell Cis-regulatory Network InferenceSingle-cell Network InferenceSingle-cell Omics AnalysisSingle-cell Regulatory Network Inference
Abstract We present dyngen, a novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. dyngen is more flexible than current single-cell simulation engines, and allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods. We demonstrate its potential for spearheading novel computational methods on three novel applications: aligning cell developmental trajectories, single-cell regulatory network inference and estimation of RNA velocity.
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