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Systems Modeling of the Oral Metabiome

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dc.contributor.advisor Gillevet, Patrick M.
dc.contributor.author Brown, Robert E
dc.creator Brown, Robert E
dc.date 2011-04-07
dc.date.accessioned 2011-05-24T14:14:53Z
dc.date.available NO_RESTRICTION en_US
dc.date.available 2011-05-24T14:14:53Z
dc.date.issued 2011-05-24
dc.identifier.uri https://hdl.handle.net/1920/6330
dc.description.abstract Deciphering the underlying biological processes comprising the Human Oral Metabiome is important to the understanding of Human Immunodeficiency Virus (HIV) disease. The National Institute of Health has launched the Human Microbiome Project (HMP) to accelerate research and discovery techniques for five microbiome sites on the human body. Knowledge discovery techniques are needed to point researchers to follow-on hypotheses to quickly pinpoint areas of great promise. We developed the Differential Correlation Network (DCN) as a technique for researcher's to perform knowledge discovery in the oral mycobiome field. Using data from the Oral Microbiome, Differential Correlation Networks were applied to metabolites, bacteria, and fungi sampled from 12 Controls and 12 HIV Patients. By analyzing 100's of features across disease vs. control classes, statistically significant feature pair differences are captured and presented in Cytoscape. Several interesting differences are discovered and their possible biological significance is presented. The Systems model in conjunction with known biological metadata can identify promising difference networks and direct follow-on research based on DCN generated hypothesis.
dc.language.iso en_US en_US
dc.subject Microbiome en_US
dc.subject Candida en_US
dc.subject Oral en_US
dc.subject HIV en_US
dc.subject Metabiome en_US
dc.subject Correlation en_US
dc.title Systems Modeling of the Oral Metabiome en_US
dc.type Dissertation en
thesis.degree.name PhD in Bioinformatics en_US
thesis.degree.level Doctoral en
thesis.degree.discipline Bioinformatics en
thesis.degree.grantor George Mason University en


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