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Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis - Softcover
Inhaltsangabe
Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study. We aimed to improve existing algorithms and develop new algorithms for proteomic mass spectrometry data analysis. Three studies were presented in this book. (1) De novo peptide sequencing via tandem mass spectrometry is of interest in various situations. We developed a dynamic-programming-based suboptimal algorithm for de novo peptide sequencing. (2) A major known problem for protein and peptide identification using mass spectrometry database search is that the speed of database search is too slow, especially when searching against a large sequence database. To cope with this situation, we designed speedup algorithms for the searching process. We employed an approach combining suffix tree data structure and spectrum graph. (3) The biological inference from proteomics data generated by mass spectrometers is a challenging problem. In this study, we first introduce some difficult issues in proteomics data analysis and then we show how we managed and visualized proteomics data by using both in-house and publicly available software tools.
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Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study. We aimed to improve existing algorithms and develop new algorithms for proteomic mass spectrometry data analysis. Three studies were presented in this book. (1) De novo peptide sequencing via tandem mass spectrometry is of interest in various situations. We developed a dynamic-programming-based suboptimal algorithm for de novo peptide sequencing. (2) A major known problem for protein and peptide identification using mass spectrometry database search is that the speed of database search is too slow, especially when searching against a large sequence database. To cope with this situation, we designed speedup algorithms for the searching process. We employed an approach combining suffix tree data structure and spectrum graph. (3) The biological inference from proteomics data generated by mass spectrometers is a challenging problem. In this study, we first introduce some difficult issues in proteomics data analysis and then we show how we managed and visualized proteomics data by using both in-house and publicly available software tools.
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Algorithmic Study on Mass Spectrometry and Proteomics: Methods for Proteomic Mass Spectrometry Data Analysis
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Algorithmic Study on Mass Spectrometry and Proteomics: Methods for Proteomic Mass Spectrometry Data Analysis
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Algorithmic Study on Mass Spectrometry and Proteomics Methods for Proteomic Mass Spectrometry Data Analysis
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Algorithmic Study on Mass Spectrometry and Proteomics
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VDM Verlag Dr. Müller|VDM Verlag Dr. Müller e.K., 2008
ISBN 10: 3639033078
ISBN 13: 9783639033076
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Kartoniert / Broschiert. Zustand: New. Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study. We aimed to improve existing algorithms and develop new algorithms for proteomic mass spectrometry data analysis. Three studies were presented in this book. Bestandsnummer des Verkäufers 4951165
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Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis
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VDM Verlag Dr. Mueller e.K. 2008-06-12, 2008
ISBN 10: 3639033078
ISBN 13: 9783639033076
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Algorithmic Study on Mass Spectrometry and Proteomics: Methods for Proteomic Mass Spectrometry Data Analysis
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Algorithmic Study on Mass Spectrometry and Proteomics : Methods for Proteomic Mass Spectrometry Data Analysis
Verlag:
VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 3639033078
ISBN 13: 9783639033076
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Taschenbuch. Zustand: Neu. Neuware - Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study. We aimed to improve existing algorithms and develop new algorithms for proteomic mass spectrometry data analysis. Three studies were presented in this book. (1) De novo peptide sequencing via tandem mass spectrometry is of interest in various situations. We developed a dynamic-programming-based suboptimal algorithm for de novo peptide sequencing. (2) A major known problem for protein and peptide identification using mass spectrometry database search is that the speed of database search is too slow, especially when searching against a large sequence database. To cope with this situation, we designed speedup algorithms for the searching process. We employed an approach combining suffix tree data structure and spectrum graph. (3) The biological inference from proteomics data generated by mass spectrometers is a challenging problem. In this study, we first introduce some difficult issues in proteomics data analysis and then we show how we managed and visualized proteomics data by using both in-house and publicly available software tools. Bestandsnummer des Verkäufers 9783639033076
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Algorithmic Study on Mass Spectrometry and Proteomics: Methods for Proteomic Mass Spectrometry Data Analysis
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