A biological simulator using a stochastic approach for synthetic biology
Name
62296074-MIT.pdf
Description
Full printable version
Size
3.5 MB
Format
Adobe PDF
Checksum (MD5)
1186794225f26316419a37853c26755e
Author(s)
Kim, Daniel D., 1982-
Advisor(s)
Thomas F. Knight, Jr.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
Synthetic Biology is a new engineering discipline created by the development of genetic engineering technology. Part of a new engineering discipline is to create new tools to build an integrated engineering environment. In this thesis, I designed and implemented a biological system simulator that will enable synthetic biologists to simulate their systems before they put time into building actual physical cells. Improvements to the current simulators in use include a design that enables extensions in functionality, external input signals, and a GUI that allows user interaction. The significance of the simulation results was tested by comparing them to actual live cellular experiments. The results showed that the new simulator can successfully simulate the trends of a simple synthetic cell.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 58-59).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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