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Design principles and phenotypic landscapes of biological networks

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Open
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Biological functions are governed by regulatory networks. Understanding how network topology relates to its function is a crucial challenge in systems biology. This involves investigating how the network is designed to fulfill different functions and generate diverse phenotypes. Computational models offer essential tools for comprehending the function and dynamic behavior of biological systems. In the past decade, various molecular and cellular profiling technologies have been developed to explore biological networks, including genomic, epigenomic datasets, etc. This collection focuses on combining these datasets to unravel the mechanisms of phenotypic stability associated with the topology and function of biological networks. We are interested in manuscripts that use dynamical modeling methods (deterministic and stochastic approach) to explore the structure and functional mechanism, as well as the phenotypic fate transitions of biological networks. Furthermore, this collection emphasizes advances in computational methods connecting data analysis and dynamical modeling as well as their applications on biological network systems.

This Collection supports and amplifies research related to SDG 3.

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Please follow the steps detailed on this page, to prepare your manuscript for submission. Submissions are handled via our online submission system. When filling out the manuscript information, in the "Subject Terms" tab, select the "Design principles and phenotypic landscapes of biological networks" Collection from the alphabetical list. Authors should express their interest in the Collection in their cover letter.