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Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.
IEEE Transactions on Signal Processing ( IF 5.230 ) Pub Date : 2011-05-06 , DOI: 10.1109/tsp.2010.2065226
Jianqiu Zhang,Xiaobo Zhou,Honghui Wang,Anthony Suffredini,Lin Zhang,Yufei Huang,Stephen Wong

In this paper, we address the issue of peptide ion peak detection for high resolution time-of-flight (TOF) mass spectrometry (MS) data. A novel Bayesian peptide ion peak detection method is proposed for TOF data with resolution of 10 000-15 000 full width at half-maximum (FWHW). MS spectra exhibit distinct characteristics at this resolution, which are captured in a novel parametric model. Based on the proposed parametric model, a Bayesian peak detection algorithm based on Markov chain Monte Carlo (MCMC) sampling is developed. The proposed algorithm is tested on both simulated and real datasets. The results show a significant improvement in detection performance over a commonly employed method. The results also agree with expert's visual inspection. Moreover, better detection consistency is achieved across MS datasets from patients with identical pathological condition.
更新日期:2019-11-01

 

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