Show simple item record

dc.contributor.advisorLeonid Mirny.en_US
dc.contributor.authorChandalia, Juhi Kiran, 1979-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Physics.en_US
dc.date.accessioned2006-03-29T18:33:20Z
dc.date.available2006-03-29T18:33:20Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/32313
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 57-58).en_US
dc.description.abstractIn 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.en_US
dc.description.statementofresponsibilityby Juhi Kiran Chandaliaen_US
dc.format.extent58 p.en_US
dc.format.extent2576170 bytes
dc.format.extent2577548 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectPhysics.en_US
dc.titleEvolution and statistics of biological regulatory networksen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.identifier.oclc61356668en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record