| Type of Material: | Thesis |
| Title: | Statistical Characterization and Interpretation of Peptide from Tandem Mass Spectra |
| Researcher: | Sangeetha, R |
| Guide: | Thomas, Tessamma |
| Department: | Department of Electronics |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2021 |
| Language: | English |
| Subject: | Chemistry | Chemistry Analytical | Physical Sciences | Protein Mass Spectrometry | Quantitative Proteomics | Statistical Characterization | Tandem Mass Spectra | Chemistry | Physical and Basic Sciences |
| Dissertation/Thesis Note: | PhD; Department of Electronics, Cochin University of Science & Technology, Cochin, Cochin; 2021 |
| Fulltext: | Shodhganga |
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| 008 | __ | 241008t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456257 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSangeetha, R|eResearcher |
| 110 | __ | |aDepartment of Electronics|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aStatistical Characterization and Interpretation of Peptide from Tandem Mass Spectra |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2021 |
| 300 | __ | |axxii,270|dDVD |
| 502 | __ | |cDepartment of Electronics, Cochin University of Science & Technology, Cochin, Cochin|d2021|bPhD |
| 518 | __ | |d2022|oDate of Award |
| 518 | __ | |oDate of Registration|d2017 |
| 520 | __ | |aIdentifying the protein contents in a biological sample is an important task in the comprehensive understanding of the biological process and disease diagnostics. Protein mass spectrometry is a high throughput technology used to analyze the protein content of the cell. The generation of tandem mass spectra through peptide fragmentation is the primary element in the mainstream protocol. The efficient combination of data acquisition protocols and analytical methods accurately interprets the resulting tandem mass spectra. Characterization and interpretation of the tandem mass spectra is a critical computational task in mass spectrometry-based proteomics. The statistical analysis of a large set of spectra in the spectrum library is the initial step in this dissertation. The main aim is to extract the features of the fragmentation pattern of Collision-Induced Dissociation (CID) spectra from the high-quality reference spectra. The study analyzes the relative frequency of occurrence of fragment ions of the peptide |
| 650 | __ | |aChemistry|2UGC |
| 650 | __ | |aPhysical and Basic Sciences|2AIU |
| 653 | __ | |aChemistry |
| 653 | __ | |aChemistry Analytical |
| 653 | __ | |aPhysical Sciences |
| 653 | __ | |aProtein Mass Spectrometry |
| 653 | __ | |aQuantitative Proteomics |
| 653 | __ | |aStatistical Characterization |
| 653 | __ | |aTandem Mass Spectra |
| 700 | __ | |eGuide|aThomas, Tessamma |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/579668|yShodhganga |
| 905 | __ | |afromsg |
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