Evolution and statistics of biological regulatory networks
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/32313 |
| _version_ | 1826208945950162944 |
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| author | Chandalia, Juhi Kiran, 1979- |
| author2 | Leonid Mirny. |
| author_facet | Leonid Mirny. Chandalia, Juhi Kiran, 1979- |
| author_sort | Chandalia, Juhi Kiran, 1979- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005. |
| first_indexed | 2024-09-23T14:15:14Z |
| format | Thesis |
| id | mit-1721.1/32313 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:15:14Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/323132019-04-10T18:03:06Z Evolution and statistics of biological regulatory networks Chandalia, Juhi Kiran, 1979- Leonid Mirny. Massachusetts Institute of Technology. Dept. of Physics. Massachusetts Institute of Technology. Dept. of Physics. Physics. 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. 2006-03-29T18:33:20Z 2006-03-29T18:33:20Z 2005 2005 Thesis http://hdl.handle.net/1721.1/32313 61356668 eng 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 58 p. 2576170 bytes 2577548 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Physics. Chandalia, Juhi Kiran, 1979- Evolution and statistics of biological regulatory networks |
| title | Evolution and statistics of biological regulatory networks |
| title_full | Evolution and statistics of biological regulatory networks |
| title_fullStr | Evolution and statistics of biological regulatory networks |
| title_full_unstemmed | Evolution and statistics of biological regulatory networks |
| title_short | Evolution and statistics of biological regulatory networks |
| title_sort | evolution and statistics of biological regulatory networks |
| topic | Physics. |
| url | http://hdl.handle.net/1721.1/32313 |
| work_keys_str_mv | AT chandaliajuhikiran1979 evolutionandstatisticsofbiologicalregulatorynetworks |