2026-09-18T21:12:42Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/323132022-01-13T07:54:41Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Leonid Mirny.
Chandalia, Juhi Kiran, 1979-
Massachusetts Institute of Technology. Dept. of Physics.
Massachusetts Institute of Technology. Department of Physics
2006-03-29T18:33:20Z
2006-03-29T18:33:20Z
2005
2005
http://hdl.handle.net/1721.1/32313
61356668
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.
Includes bibliographical references (p. 57-58).
In this thesis, I study the process of evolution of the gene regulatory network in Escherichia coli. First, I characterize the portion of the network that has been documented, and then I simulate growth of the network. In this study, I assume that the network evolves by gene duplication and divergence. Initially, the duplicated gene will retain its old interactions. As the gene accumulates mutations, it gains new interactions and may or may not lose the old interactions. I investigate evidence for the duplication-divergence model by looking at the homology and regulatory networks in E. coli and propose a simple duplication-divergence model for growth. The results show that this simple model cannot fully account for the complexity in the real network fragment as measured by conventional metrics.
by Juhi Kiran Chandalia
S.M.
58 p.
2576170 bytes
2577548 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Physics.
Evolution and statistics of biological regulatory networks
Thesis
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