Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634450
Title: Bioinformatics methods for annotating genomes using proteomic data
Author: Daniel Naguib, Gianluca
ISNI:       0000 0004 5351 2800
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2014
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Abstract:
In recent years the number of genome sequencing projects has been exponentially increasing, leaving genome annotation dependent upon primarily automated tools. Recently, proteogenomics studies have attempted to bridge the gap between genomics and proteomics, by actively using proteomic data during the annotation stage. This project attempts to address some limitations in current bioinformatics approaches, such as the identification of N-terminal peptides and those spanning across exons – so called intron-spanning peptides (ISPs). Additionally it presents approaches for determining the quality of gene models. The results provide insights on the N-terminus of proteins (identification strategies, modifications), quality assessment on available gene annotation and performance of gene finders. A new method has also been developed for the identification of ISPs and, although this technique remains challenging, provides a framework in which future developments can be made.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.634450  DOI: Not available
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