Portada del libro de Algorithmic Study on Mass Spectrometry and Proteomics
Título del libro:

Algorithmic Study on Mass Spectrometry and Proteomics

Methods for Proteomic Mass Spectrometry Data Analysis

VDM Verlag Dr. MŸller Aktiengesellschaft & Co. KG (2008-06-11 )

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ISBN-13:

978-3-639-03307-6

ISBN-10:
3639033078
EAN:
9783639033076
Idioma del libro:
Inglés
Notas y citas / Texto breve:
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.
Editorial:
VDM Verlag Dr. MŸller Aktiengesellschaft & Co. KG
Por (autor):
Bingwen Lu
Número de páginas:
100
Publicado en:
2008-06-11
Stock:
Disponible
Categoría:
Biología
Precio:
49.00 €
Palabras clave:
Proteomics, mass spectrometry, suffix tree, spectrum graph, peptide sequencing, database search, Bioinformatics, Computational Biology

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