Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

Robrecht Cannoodt, Wouter Saelens, Louise Deconinck and Yvan Saeys ()
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Robrecht Cannoodt: VIB Center for Inflammation Research
Wouter Saelens: VIB Center for Inflammation Research
Louise Deconinck: VIB Center for Inflammation Research
Yvan Saeys: VIB Center for Inflammation Research

Nature Communications, 2021, vol. 12, issue 1, 1-9

Abstract: Abstract We present dyngen, a 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 computational methods. We demonstrate its potential for spearheading computational methods on three applications: aligning cell developmental trajectories, cell-specific regulatory network inference and estimation of RNA velocity.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24152-2

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DOI: 10.1038/s41467-021-24152-2

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