A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors
Abstract
:1. Introduction
2. Diversity vs. Stability of Natural Patterns: A Paradox Guiding Methods and Model Choices
3. Two Long-Opposed Theories Explain Pattern Formation In Vivo
4. Novel Integrative Frameworks Bridge Molecular and Cellular Patterning Strategies
5. A New Synthesis: Integrating Natural Variation to Numerical-Empirical Crosstalk
6. Designing Numerical Evo-Devo Approaches to Study Tissue Mechanics
7. Conclusions
Funding
Acknowledgments
Conflicts of Interest
References
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Bailleul, R.; Manceau, M.; Touboul, J. A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors. Cells 2020, 9, 1840. https://doi.org/10.3390/cells9081840
Bailleul R, Manceau M, Touboul J. A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors. Cells. 2020; 9(8):1840. https://doi.org/10.3390/cells9081840
Chicago/Turabian StyleBailleul, Richard, Marie Manceau, and Jonathan Touboul. 2020. "A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors" Cells 9, no. 8: 1840. https://doi.org/10.3390/cells9081840