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Full-Text Articles in Physical Sciences and Mathematics
Peptide Identification: Refining A Bayesian Stochastic Model, Theophilus Barnabas Kobina Acquah
Peptide Identification: Refining A Bayesian Stochastic Model, Theophilus Barnabas Kobina Acquah
Electronic Theses and Dissertations
Notwithstanding the challenges associated with different methods of peptide identification, other methods have been explored over the years. The complexity, size and computational challenges of peptide-based data sets calls for more intrusion into this sphere. By relying on the prior information about the average relative abundances of bond cleavages and the prior probability of any specific amino acid sequence, we refine an already developed Bayesian approach in identifying peptides. The likelihood function is improved by adding additional ions to the model and its size is driven by two overall goodness of fit measures. In the face of the complexities associated …
Denoising Tandem Mass Spectrometry Data, Felix Offei
Denoising Tandem Mass Spectrometry Data, Felix Offei
Electronic Theses and Dissertations
Protein identification using tandem mass spectrometry (MS/MS) has proven to be an effective way to identify proteins in a biological sample. An observed spectrum is constructed from the data produced by the tandem mass spectrometer. A protein can be identified if the observed spectrum aligns with the theoretical spectrum. However, data generated by the tandem mass spectrometer are affected by errors thus making protein identification challenging in the field of proteomics. Some of these errors include wrong calibration of the instrument, instrument distortion and noise. In this thesis, we present a pre-processing method, which focuses on the removal of noisy …