Rxivist logo

dyngen: a multi-modal simulator for spearheading new single-cell omics analyses

By Robrecht Cannoodt, Wouter Saelens, Louise Deconinck, Yvan Saeys

Posted 06 Feb 2020
bioRxiv DOI: 10.1101/2020.02.06.936971

Purpose When developing new types of tools for single-cell analyses, there is often a lack of datasets on which to quantitatively assess the performance. Results We developed dyngen, a multi-modality simulator of single cells. In dyngen, the biomolecular state of an in silico changes over time according to a predefined gene regulatory network. We used dyngen to benchmark three emerging ways of analysing single-cell data: RNA velocity, cell-specific network inference and trajectory alignment methods. Conclusion dyngen lays the foundations for benchmarking a wide variety of computational single-cell tools and can be used to help kick-start the development of future types of analyses.

Download data

  • Downloaded 530 times
  • Download rankings, all-time:
    • Site-wide: 29,090 out of 89,225
    • In bioinformatics: 3,847 out of 8,418
  • Year to date:
    • Site-wide: 3,622 out of 89,225
  • Since beginning of last month:
    • Site-wide: 6,992 out of 89,225

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)