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dc.contributor.advisorErdi, Peter
dc.contributor.advisorWood, Kevin
dc.contributor.authorKelley, Christian
dc.date.accessioned2018-05-05T16:17:45Z
dc.date.available2018-05-05T16:17:45Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10920/35736
dc.description60 p.en_US
dc.description.abstractThe development of resistance to treatment among infectious diseases is well known as a classical Darwinian phenomena. However, a mechanistic understanding of how resistance is conferred and what the implied dynamical phenomena are is a much more recent topic of investigation. A further issue posed by studying these dynamical phenomena is how to effectively compare a model with actual data, given that the dynamics are highly nonlinear, limiting the utility of traditional methods of measurement. The problem can be resolved with the study of the topology of the spatial organization of bacterial populations. By analyzing the persistent homology of data, results from models can be effectively compared to experimental data, and structures in populations can be topologically characterized.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofKalamazoo College Physics Senior Individualized Projects Collection
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder. All rights reserved.
dc.titleDynamics and Structure of Bacterial Populations under Antibiotic Stressen_US
dc.typeThesisen_US
KCollege.Access.ContactIf you are not a current Kalamazoo College student, faculty, or staff member, email dspace@kzoo.edu to request access to this thesis.


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  • Physics Senior Individualized Projects [317]
    This collection includes Senior Individualized Projects (SIP's) completed in the Physics Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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