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Více informací o knize Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Chemistry

• Plný název: Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis
• Autor: Bingwen Lu
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 100
• EAN: 9783639033076
• ISBN: 3639033078
• ID: 06813000
• Nakladatelství: VDM Verlag Dr. Mueller E.K.
• Hmotnost: 156 g
• Rozměry: 229 × 152 × 6 mm
• Datum vydání: 12. June 2008

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