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Copyright © 2012 by the American Association for the Advancement of Science
Computational Approaches to Developmental PatterningLuis G. Morelli,1,2,3 Koichiro Uriu,1,4 Saúl Ares,2,5,6 Andrew C. Oates1,* 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.
1 Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany. * To whom correspondence should be addressed. E-mail: oates{at}mpi-cbg.de
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Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882