Thesis
Unraveling biological mechanisms using network analysis
Washington State University
Master of Science (MS), Washington State University
2017
Handle:
https://hdl.handle.net/2376/101043
Abstract
The reconstruction and analysis of biological networks is a relatively new merging of the computational and biological sciences to aid in the discovery of novel biological phenomenon using omics datasets from perturbation experiments. However, tools available to biologists for such analyses are lacking. Many algorithms are available but do not provide the tools required to generate hypotheses efficiently. This thesis concerns the development of a tool designed in MATLAB that allows for biological network analysis of disparate data sets and the subsequent analysis of pathways pertinent to researchers. To demonstrate this tool and generate biological hypotheses, two case studies were performed. In the first, a bacterial co-culture was analyzed to determine the mechanism through which nitrogen is exchanged between organisms. The second case study describes the synthesis of a glutathione activity-based probe, its application to mouse liver, and the subsequent network analysis of probe targets.
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Details
- Title
- Unraveling biological mechanisms using network analysis
- Creators
- Bryan Killinger
- Contributors
- Aaron T. Wright (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Chemical Engineering and Bioengineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525158901842
- Language
- English
- Resource Type
- Thesis