Bioinformatics of High Throughput Proteomics Using Tandem Mass Spectrometry of Intact Proteins
LeDuc, Richard D.
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https://hdl.handle.net/2142/85032
Description
Title
Bioinformatics of High Throughput Proteomics Using Tandem Mass Spectrometry of Intact Proteins
Author(s)
LeDuc, Richard D.
Issue Date
2007
Doctoral Committee Chair(s)
Caetano-Anolles, Gustavo
Department of Study
Crop Sciences
Discipline
Crop Sciences
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Biology, Bioinformatics
Language
eng
Abstract
Top down mass spectrometry is a unique approach to the problem of identifying and characterizing proteins with a DNA-predicted sequence. It would be desirable to move top down mass spectrometry in to the 'omic' sciences by developing a high throughput form that could be used to simultaneously identify and characterize thousands of proteins. Before this is possible, the bioinformatic analysis of top down mass spectrometric data needed to be automated. This work demonstrates a functional automated top down search environment called ProSightHT. Further, it derives and demonstrates the utility of an improved scoring system that simultaneously reduces the rate of false identifications and missed characterizations. A superior Automated Protein Characterization database schema is introduced that allows the storage of all prior protein form information, and a statistically valid approach to protein form quantification is demonstrated.
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