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

Authors
  • Cannoodt, Robrecht1, 2, 3
  • Saelens, Wouter1, 2, 4
  • Deconinck, Louise1, 2
  • Saeys, Yvan1, 2
  • 1 VIB Center for Inflammation Research, Ghent, Belgium , Ghent (Belgium)
  • 2 Ghent University, Ghent, Belgium , Ghent (Belgium)
  • 3 Data Intuitive, Lebbeke, Belgium , Lebbeke (Belgium)
  • 4 École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland , Lausanne (Switzerland)
Type
Published Article
Journal
Nature Communications
Publisher
Springer Nature
Publication Date
Jun 24, 2021
Volume
12
Issue
1
Identifiers
DOI: 10.1038/s41467-021-24152-2
Source
Springer Nature
Disciplines
  • article
License
Green

Abstract

To benchmark single cell bioinformatics tools, data simulators can provide a robust ground truth. Here the authors present dyngen, a multi-modal simulator, and apply it to aligning cell developmental trajectories, cell-specific regulatory network inference and estimation of RNA velocity.

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