Djordjevic, Djordje (2017) Computational methods for analysing the regulation of genetic systems across species. PhD thesis, Victor Chang Cardiac Research Institute. Faculty of Medicine, UNSW.
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Djordje Djordjevic 2017 PhD Thesis VCCRI UNSW.pdf Download (23MB) |
Abstract
Gene regulation in humans and other mammalian organisms is complex with many different layers. Despite huge advances in biomedical research, our ability to build a comprehensive and predictive model of gene regulation is still limited. There are increasing amounts of public genome-wide data available, containing a wealth of untapped knowledge about different aspects of gene regulation from across the tree of life. The main challenge and bottleneck is integrating and analysing this data to extract insights about gene regulation.In this thesis, I discuss the challenges pertaining to integrating data of different types,and from different species, to better understand gene regulation. Furthermore, I present a series of novel concepts, bioinformatics methods, software tools and case studies to address and overcome some of these issues.The key contributions of this thesis are:1. Investigation and method development for constructing and analysing mammalian gene regulatory networks2. Approaches and tools for large scale systems integration of public data and knowledge3. Investigation of issues and new methods for cross-species gene set analysis.
| Item Type: | Thesis (PhD ) |
|---|---|
| Additional Information: | SUPERVISORS: Ho, Joshua, Victor Chang Cardiac Research Institute, Faculty of Medicine, UNSW; Fatkin, Diane, Victor Chang Cardiac Research Institute, Faculty of Medicine, UNSW |
| Keywords: | Thesis restricted until September 2018. (Thesis on file) |
| Subjects: | R Medicine > R Medicine (General) |
| Depositing User: | Repository Administrator |
| Date Deposited: | 04 Oct 2017 22:07 |
| Last Modified: | 06 Feb 2019 00:20 |
| URI: | https://eprints.victorchang.edu.au/id/eprint/647 |
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