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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: 1149 CZK
Availability: InStock

Autor: Bingwen Lu

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag Dr. Mueller E.K.

Dostupnost: Skladem u dodavatele

Odesíláme za 14-21 dnů

1 149 Kč

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

Informace o knize

Autor

Bingwen Lu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2008

Stránek

100

EAN

9783639033076

ISBN

3639033078

Enbook ID

06813000

Vydavatel

VDM Verlag Dr. Mueller E.K.

Hmotnost

156

Rozměry

152 x 229 x 6

Kompletní popis

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.