A quantitative study of the lac operon

dc.contributor.advisorCox, Steven J.
dc.creatorTurner, Jesse Hosea, III
dc.date.accessioned2009-06-04T08:37:20Z
dc.date.available2009-06-04T08:37:20Z
dc.date.issued2005
dc.description.abstractThe lac operon has been key in the study of genetic regulation. Consisting of three structural genes and a regulatory domain, the lac operon controls the manufacture of lactose-digesting enzymes in E. coli bacteria. The mechanisms through which it is repressed and activated are standard and apply to many operons in other genetic settings. As a result, scientists believe understanding the lac operon will help to decipher how more complicated genetic regulatory systems behave. A large amount of quantitative data has been generated from the lac operon, a consequence of both its small size and tractability. A variety of mathematical models have been employed to examine this data. Here, we will investigate how bifurcation theory, reverse engineering, and Gillespie's stochastic simulation method have all been used to uncover some aspect of the lac operon. Conclusions drawn from the results of these models promise to reveal new information about this operon.
dc.format.extent45 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS MATH.SCI. 2005 TURNER
dc.identifier.citationTurner, Jesse Hosea, III. "A quantitative study of the lac operon." (2005) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17837">https://hdl.handle.net/1911/17837</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17837
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectMathematics
dc.titleA quantitative study of the lac operon
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMathematical Sciences
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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