Mason Archival Repository Service

Systems Modeling of the Oral Metabiome

Show simple item record

dc.contributor.advisor Gillevet, Patrick M. Brown, Robert E
dc.creator Brown, Robert E 2011-04-07 2011-05-24T14:14:53Z NO_RESTRICTION en_US 2011-05-24T14:14:53Z 2011-05-24
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 PhD in Bioinformatics en_US Doctoral en Bioinformatics en George Mason University en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account