Fabian Theis (Helmholtz Zentrum Munich)
To expand Scanpy’s core infrastructure and community platforms for stability, versatility, and sharing knowledge.
Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks. Its Python-based implementation efficiently deals with data sets of more than one million cells.