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B. Y. Renard, Robust Methods for the Proteomic Data Analysis Pipeline. University of Heidelberg, 2010.
B. Y. Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., Overcoming species boundaries in peptide identification with BICEPS, Molecular and Cellular Proteomics, vol. 11, 2012.PDF icon Technical Report (444.6 KB)
B. Y. Renard, An Improved Method for Peak Identification in Proteomic Mass Spectrometry Data, University of Heidelberg, 2007.
B. Y. Renard, Kirchner, M., Monigatti, F., Ivanov, A. R., Rappsilber, J., Winter, D., Steen, J. A. J., Hamprecht, F. A., and Steen, H., When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing, Proteomics, vol. 9, pp. 4978-4984, 2009.PDF icon Technical Report (901.78 KB)
B. Y. Renard, Kirchner, M., Steen, H., Steen, J. A. J., and Hamprecht, F. A., NITPICK: Peak Identification for Mass Spectrometry Data, BMC Bioinformatics, vol. 9, p. 355, 2008.PDF icon Technical Report (643.89 KB)
B. Y. Renard, Timm, W., Kirchner, M., Steen, J. A. J., Hamprecht, F. A., and Steen, H., Estimating the Confidence of Peptide Identifications without Decoy Databases, Analytical Chemistry, pp. 4314-4318, 2010.PDF icon Technical Report (619.11 KB)