title: Computational approaches to developmental patterning.
abstract: Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.
authors.affiliation: Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
authors.forename: Luis G
authors.initials: LG
authors.lastname: Morelli
authors.forename: Koichiro
authors.initials: K
authors.lastname: Uriu
authors.forename: Saúl
authors.initials: S
authors.lastname: Ares
authors.forename: Andrew C
authors.initials: AC
authors.lastname: Oates
mesh_terms: D000818:Animals; D019521:Body Patterning; D019295:Computational Biology; D003198:Computer Simulation; D004330:Drosophila / Q000196:embryology; D004625:Embryo, Nonmammalian / Q000166:cytology / Q000378:metabolism; D047108:Embryonic Development; D018507:Gene Expression Regulation, Developmental; D053263:Gene Regulatory Networks; D008954:Models, Biological; D015398:Signal Transduction; D015027:Zebrafish / Q000196:embryology