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PRIME: A Mass Spectrum Data Mining Tool for De Novo Sequencing and PTMs Identification 被引量:1

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摘要 De novo sequencing is one of the most promising proteomics techniques for identification of protein posttranslation modifications (PTMs) in studying protein regulations and functions. We have developed a computer tool PRIME for identification of b and y ions in tandem mass spectra, a key challenging problem in de novo sequencing. PRIME utilizes a feature that ions of the same and different types follow different mass-difference distributions to separate b from y ions correctly. We have formulated the problem as a graph partition problem. A linear integer-programming algorithm has been implemented to solve the graph partition problem rigorously and efficiently. The performance of PRIME has been demonstrated on a large amount of simulated tandem mass spectra derived from Yeast genome and its power of detecting PTMs has been tested on 216 simulated phosphopeptides.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2005年第4期483-490,共8页 计算机科学技术学报(英文版)
基金 美国自然科学基金
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