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BMCBI
2008
107views more  BMCBI 2008»
13 years 5 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
ICONIP
2008
13 years 6 months ago
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
BMCBI
2006
172views more  BMCBI 2006»
13 years 5 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
BMCBI
2010
112views more  BMCBI 2010»
13 years 5 months ago
In silico fragmentation for computer assisted identification of metabolite mass spectra
Background: Mass spectrometry has become the analytical method of choice in metabolomics research. The identification of unknown compounds is the main bottleneck. In addition to t...
Sebastian Wolf, Stephan Schmidt, Matthias Mül...
BMCBI
2007
166views more  BMCBI 2007»
13 years 5 months ago
Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics
Background: In proteomic analysis, MS/MS spectra acquired by mass spectrometer are assigned to peptides by database searching algorithms such as SEQUEST. The assignations of pepti...
Xinning Jiang, Xiaogang Jiang, Guanghui Han, Mingl...