popInfer: a novel method for the inference of gene regulatory networks governing dynamic cell state transitions is published now in iScience. popInfer learns cell type-specific networks governing dynamic transitions by learning a joint regression model using both RNA-seq and ATAC-seq signals from the same single cells. Applied to a multiomic dataset on hematopoietic stem cell aging, popInfer discovered a mutual inhibition network between Mecom and Cdk6 that controlled stem cell quiescence.