NITPICK swMATH ID: 39674 Software Authors: Renard, BY; Kirchner, M.; Steen, H.; Steen, JA; Hamprecht, FA Description: NITPICK: Peak identification for mass spectrometry data. Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This 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 averagine model, and on a modified version of sparse, non-negative least angle regression, for which a suitable, statistically motivated early stopping criterion has been derived. The strength of NITPICK is the deconvolution of overlapping mixture mass spectra. Conclusion: Extensive comparative evaluation has been carried out and results are provided for simulated and real-world data sets. NITPICK outperforms pepex, to date the only alternate, publicly available, non-greedy feature extraction routine. NITPICK is available as software package for the R programming language and can be downloaded from http://hci.iwr.uni-heidelberg.de/mip/proteomics/. Homepage: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-355 Related Software: CVXR; nnls; CRAN; OpenMS; YADA; Decon2LS Cited in: 1 Publication Cited by 4 Authors 1 Ding, Hao 1 Liu, Feng 1 Qin, Shanshan 1 Wu, Yuehua Cited in 1 Serial 1 Annals of the Institute of Statistical Mathematics Cited in 2 Fields 1 Statistics (62-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year