dynverse: A Toolkit for Studying Cell Development with Single-Cell Omics
Yvan Saeys (Vlaams Instituut voor Biotechnologie)
Single-cell biology is the application of technologies that enable multi-omics investigation at the level of a single cell. This project will streamline trajectory inference from single-cell omics data by improving integration with upstream and downstream analysis pipelines.
Cells are constantly changing in response to internal and external stimuli. Trajectory inference is a novel type of computational analysis which uses single-cell omics to model and predict how cells change over time. These computational tools now play a crucial role in single-cell biology research, from small-scale fundamental academic research to large collaborative projects such as the Human Cell Atlas. Over 75 methods have been developed in the last couple of years. This toolkit contains methods for inferring, visualizing, and interpreting the trajectory models to better understand cellular behaviour. The toolkit is being used by numerous biomedical researchers and the pharma industry.