Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis

Name: Algorithmic Study on Mass Spectrometry and Proteomics - Methods for Proteomic Mass Spectrometry Data Analysis
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639033076
Price: 49.77 EUR
Availability: InStock

Автор: Bingwen Lu

Език:

Корици: С меки корици

Издател: VDM Verlag Dr. Mueller E.K.

Наличност: Външен склад

Изпращаме след 9-15 дни

49.77 € 97.34 лв

Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study....

Информация за книгата

Автор

Bingwen Lu

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

100

EAN

9783639033076

ISBN

3639033078

Enbook ID

06813000

Издател

VDM Verlag Dr. Mueller E.K.

Теглоt

156

Размери

152 x 229 x 6

Пълно описание

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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