Mapping transcriptomic vector fields of single cellsDynamo is a computational framework for gaining insights into dynamic biological processes, such as human hematopoiesis, from time-resolved single-cell RNA-seq data. Dynamo constructs transcriptomic vector fields from single-cell data and enables predictive modeling of cell-state regulatory mechanisms, perturbation outcomes, and optimal paths for cell-state transitions.Dynamo is a computational framework for gaining insights into dynamic biological processes, such as human hematopoiesis, from time-resolved single-cell RNA-seq data. Dynamo constructs transcriptomic vector fields from single-cell data and enables predictive modeling of cell-state regulatory mechanisms, perturbation outcomes, and optimal paths for cell-state transitions.Xiaojie Qiu, Yan Zhang, Jorge D. Martin-Rufino, Chen Weng, Shayan Hosseinzadeh, Dian Yang, Angela N. Pogson, Marco Y. Hein, Kyung Hoi (Joseph) Min, Li Wang, Emanuelle I. Grody, Matthew J. Shurtleff, Ruoshi Yuan, Song Xu, Yian Ma, Joseph M. Replogle, Eric S. Lander, Spyros Darmanis, Ivet Bahar, Vijay G. Sankaran, Jianhua Xing, Jonathan S. Weissmanhttps://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.cell.com%2Fcell%2Ffulltext%2FS0092-8674%2821%2901577-4%3Frss%3Dyes&rc=0http://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignFebruary 2, 2022

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