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SYNBADm: a tool for optimization-based automated design of synthetic gene circuits
Author(s) -
Irene OteroMuras,
David Henriques,
Julio R. Banga
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw415
Subject(s) - computer science , toolbox , matlab , synthetic biology , software , computer engineering , electronic circuit , computer architecture , field (mathematics) , programming language , bioinformatics , engineering , mathematics , pure mathematics , electrical engineering , biology
The design of de novo circuits with predefined performance specifications is a challenging problem in Synthetic Biology. Computational models and tools have proved to be crucial for a successful wet lab implementation. Natural gene circuits are complex, subject to evolutionary tradeoffs and playing multiple roles. However, most synthetic designs implemented to date are simple and perform a single task. As the field progresses, advanced computational tools are needed in order to handle greater levels of circuit complexity in a more flexible way and considering multiple design criteria.

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