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Synthetic biology attempts to create new biological systems using engineering principles such as abstraction, modularity, composition, modeling, and simulation. As bioengineers attempt to design systems with increased complexity, component interaction, and de novo genetic material, rigorous design methodologies will be required not only to manage the design material but also to make sure the created designs function as intended.
IEEE Design & Test seeks original manuscripts for this special section, which will cover recent advances in bio-design automation. Advances that use techniques and algorithms from the larger design automation community will be of particular interest. Papers should address one or more of the following:
Topics of interest include (but are not limited to):
Prospective authors should follow the submission guidelines for IEEE Design & Test. All manuscripts must be submitted electronically to the IEEE Manuscript Central Web site at https://mc.manuscriptcentral.com/cs-ieee. Indicate that you are submitting your article to the special section on "Bio-Design Automation in Synthetic Biology." All articles will undergo the standard IEEE Design & Test review process. Submitted manuscripts must not have been previously published or currently submitted for publication elsewhere. Manuscripts must not exceed 5,000 words, including figures and a maximum of 12 references (30 for surveys). This amounts to about 4,000 words of text and a maximum of five small to medium figures. Accepted articles will be edited for clarity, structure, conciseness, grammar, logical organization, readability, and adherence to D&T and Computer Society style. Please see IEEE D&T Author Resources at http://www.computer.org/dt/author.htm, then scroll down and click on Author Center for submission guidelines and requirements.
Please direct questions regarding this special issue to Guest Editors Douglas Densmore (firstname.lastname@example.org) and Soha Hassoun (email@example.com).
Guest Editors: Douglas Densmore (Boston University) and Soha Hassoun (Tufts University)