SANITY: ANALYZING SINGLE-CELL DATA WITHOUT DISTORTION
Single-cell RNA sequencing is a powerful experimental method for determining the molecular identities and characteristics of individual cells. However, analyzing such data is very challenging. As the team led by Prof. Erik van Nimwegen and Prof. Mihaela Zavolan at the Biozentrum of the University of Basel now report in “Nature Biotechnology”, this is where many tools fail. They show that existing tools present highly distorted representations of the data and present a new method, called “Sanity” that overcomes these problems.