NITPICK: peak identification for mass spectrometry data

@article{Renard2008NITPICKPI,
  title={NITPICK: peak identification for mass spectrometry data},
  author={Bernhard Y. Renard and Marc Kirchner and Hanno Steen and Judith A. J. Steen and Fred A. Hamprecht},
  journal={BMC Bioinformatics},
  year={2008},
  volume={9},
  pages={355 - 355}
}
BackgroundThe reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments.ResultsThis contribution proposes a sparse template regression approach to peak picking called NITPICK. NITPICK is a Non-greedy, Iterative Template-based peak PICKer that deconvolves complex overlapping isotope distributions in multicomponent mass spectra. NITPICK is based on fractional averagine, a novel extension to Senko's well-known… CONTINUE READING

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