The mission of the NCSU cluster in Quantitative and Computational Developmental Biology is to address fundamental questions in animal and plant development through interdisciplinary collaborations between biologists, physicists, mathematicians, engineers and other researchers. The cluster also facilitates training in quantitative and computational approaches to cellular and developmental biology research, and promotes awareness of the cutting edge science and scientists in this emerging field.
(2021). Effects of early geometric confinement on the transcriptomic profile of human cerebral organoids. BMC Biotechnol 21, 59. PubMed PMID:34641840.
(2021). Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis. Nat Commun 12, 5858. PubMed PMID:34615886.
(2021). Gene regulatory networks for compatible versus incompatible grafts identify a role for SlWOX4 during junction formation. Plant Cell , . PubMed PMID:34609518.