About this Research Topic
Synthetic biology aspires to revolutionize the way we engineer life and it has been successfully applied in a wide spectrum of areas over the past decade. If synthetic biology is to materialize its transformative potential, however, it has to adopt a computationally-driven approach to guide the design, implementation and testing cycles. A deep integration of computational and experimental methods will provide a platform for faster, inexpensive, robust and more reliable biological systems with far-reaching applications across seemingly disparate disciplines. We welcome original research papers and critical reviews that describe novel work on the interface of computational and experimental synthetic biology. This includes, but it is not limited to:
Computational tools, languages and standards for synthetic biology
Algorithms and methods for bio-design and automation
Multi-scale modeling and large-scale simulation for bioengineering
Knowledge-bases and repositories related to synthetic biology
Application-specific approaches that integrate modeling and experiments
Computational tools, languages and standards for synthetic biology
Algorithms and methods for bio-design and automation
Multi-scale modeling and large-scale simulation for bioengineering
Knowledge-bases and repositories related to synthetic biology
Application-specific approaches that integrate modeling and experiments
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
