Thesis
Data mining for phospho-proteomics
Washington State University
Master of Science (MS), Washington State University
2009
Handle:
https://hdl.handle.net/2376/100510
Abstract
The systematic investigation of phosphorylated proteins enabled by advances in mass spectrometry has the potential to reveal much about the signaling networks that regulate cellular function. Successful annotation of phospho-proteome data is an essential first step toward realizing this objective. Annotating the data requires the application of data mining techniques. This thesis reports on processes and tools developed for this purpose and applied to a dataset of phospho-peptides observed to be differentially abundant in irradiated tissue-culture samples.
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Details
- Title
- Data mining for phospho-proteomics
- Creators
- Nila Reitz
- Contributors
- John H. Miller (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525053401842
- Language
- English
- Resource Type
- Thesis