Usage
  • 12 views
  • 159 downloads

Design and Development of Novel Metabolomic Databases and Tools

  • Author / Creator
    Jewison, Timothy
  • Metabolomics involves the high throughput characterization of small molecules or metabolites in cells, tissues and organisms. To interpret, store and exchange metabolomic data it is necessary to have comprehensive, electronically accessible databases that can be used to handle both the experimental data and the associated biological and chemical information needed to identify, quantify and interpret the meaning of those metabolites. As the field of metabolomics matures the need for improved databases is growing rapidly. In particular, there is a serious shortage of organism-specific metabolomic databases and a significant bottleneck with regard to the breadth and depth of known metabolic pathways needed to interpret metabolomic data. Consequently the main objective of my thesis project was to develop novel software and innovative databases to address these two metabolomics bottlenecks. In particular, I focused on the development of (i) species specific compound databases, (ii) the creation of graphical pathway databases and (iii) the design and implementation of innovative pathway visualization techniques and tools. This thesis describes the design and implementation of the Yeast Metabolome Database (YMDB) (http://ymdb.ca) an example of an organism-specific metabolomic database, and the Small Molecule Pathway Database (SMPDB) (http://smpdb. ca) an example of a comprehensive graphical pathway database. It also describes the PathWhiz system, a novel web server for the creation and visualization of biological pathways.

  • Subjects / Keywords
  • Graduation date
    2014-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3833N532
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Wishart, David (Computing Science)
  • Examining committee members and their departments
    • Joel, Weiner (Biochemistry)
    • Lin, Guohui (Computing Science)
    • Wishart, David (Computing Science)