FB2026_03 , released September 17, 2026
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Citation
Morelli, L.G., Uriu, K., Ares, S., Oates, A.C. (2012). Computational approaches to developmental patterning.  Science 336(6078): 187--191.
FlyBase ID
FBrf0219657
Publication Type
Review
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.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Science
    Title
    Science
    Publication Year
    1895-
    ISBN/ISSN
    0036-8075 1095-9203
    Data From Reference
    Genes (3)