Aaron A. Klammer, Ph.D.

modeling biological processes at the molecular level

William Stafford Noble	grad student	2008	University of Washington
(Revealing the proteome: A machine learning approach to peptide identification.)
Michael J. MacCoss	grad student	2004-2008	University of Washington (Chemistry Tree)

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Klammer AA, Park CY, Noble WS. (2009) Statistical calibration of the SEQUEST XCorr function. Journal of Proteome Research. 8: 2106-13
Klammer AA, Reynolds SM, Bilmes JA, et al. (2008) Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. Bioinformatics (Oxford, England). 24: i348-56
Park CY, Klammer AA, KÃ¤ll L, et al. (2008) Rapid and accurate peptide identification from tandem mass spectra. Journal of Proteome Research. 7: 3022-7
Klammer AA, Yi X, MacCoss MJ, et al. (2007) Improving tandem mass spectrum identification using peptide retention time prediction across diverse chromatography conditions. Analytical Chemistry. 79: 6111-8
Klammer AA, MacCoss MJ. (2006) Effects of modified digestion schemes on the identification of proteins from complex mixtures. Journal of Proteome Research. 5: 695-700
Blackler AR, Klammer AA, MacCoss MJ, et al. (2006) Quantitative comparison of proteomic data quality between a 2D and 3D quadrupole ion trap. Analytical Chemistry. 78: 1337-44
Klammer AA, Wu CC, MacCoss MJ, et al. (2005) Peptide charge state determination for low-resolution tandem mass spectra. Proceedings / Ieee Computational Systems Bioinformatics Conference, Csb. Ieee Computational Systems Bioinformatics Conference. 175-85