A computational study of gene structure and splicing in model eukaryote organisms

Clark, Francis (2003). A computational study of gene structure and splicing in model eukaryote organisms PhD Thesis, School of Physical Sciences, The University of Queensland.

       
Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
THE17395.pdf Full text application/pdf 23.52MB 2
Author Clark, Francis
Thesis Title A computational study of gene structure and splicing in model eukaryote organisms
School, Centre or Institute School of Physical Sciences
Institution The University of Queensland
Publication date 2003
Thesis type PhD Thesis
Supervisor Professor K. Burrage
Total pages 259
Collection year 2003
Language eng
Subjects L
230116 Numerical Analysis
780101 Mathematical sciences
Formatted abstract In 1977 it was discovered that the genes of eukaryotes contain introns - intervening sequences that are removed from the RNA transcript shortly after transcription. The work presented in this thesis contributes to the understanding of introns in two ways; through characterisation of intron data sets from various model organisms, and through computational identification and analysis of patterns of gene splicing.

Through the construction of gene data sets for eukaryote organisms, extracted from publicly available data, it has been possible to study the overall characteristics of eukaryote gene structures, and this has lead to a recognition that these characteristics are profoundly effected by regional base composition properties.

The split genes of eukaryotes allow for the generation of multiple gene products from a single gene, through the adoption of alternative patterns of gene splicing. Although the possibility of alternative splicing was recognised with the discovery of introns, and examples found shortly afterwards, only recently has sufficient gene and transcript sequence data been available to allow for computational analysis. The methods employed for the identification of patterns of gene splicing, and details of the characterisation and analysis of the resultant data sets, are described in this thesis.

Keyword Genetic engineering
Eukaryotes
Eukaryotic cells

 
Citation counts: Google Scholar Search Google Scholar
Access Statistics: 247 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 24 Aug 2007, 18:08:19 EST