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

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

Szerző: Bingwen Lu
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
19 000 Ft
Tandem mass spectrometry has emerged to be one of the most powerful techniques for proteomics study....

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2008
oldal
100
EAN
9783639033076
ISBN
3639033078
Enbook ID
06813000
Súly
156
Méretek
152 x 229 x 6

Teljes leírás

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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