Stephen E Stein

发表

Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)*

Richard D Smith, Mark Baker, John R Yates, 2011, Molecular & Cellular Proteomics.

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles).

Richard D Smith, Mark Baker, John R Yates, 2012, Journal of proteome research.

FDR Estimation for Hybrid Mass Spectral Library Search Identifications in Bottom-up Proteomics.

Meghan C. Burke, Yuri A. Mirokhin, Zheng Zhang, 2019, Journal of proteome research.

Data quality issues in proteomics – there are many paths to enlightenment

Paul A Haynes, Stephen E Stein, Michael P Washburn, 2016, Proteomics.

Building consensus spectral libraries for peptide identification in proteomics

Ruedi Aebersold, Eric W Deutsch, Stephen E Stein, 2008, Nature Methods.

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles)

Richard D Smith, John R Yates, Henning Hermjakob, 2011, Proteomics. Clinical applications.

Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.

Alexey I Nesvizhskii, Stephen E Stein, Yuxue Liang, 2013, Journal of proteome research.

Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry.

Birgit Schilling, Lisa J Zimmerman, Christopher R Kinsinger, 2010, Journal of proteome research.

Interlaboratory Study Characterizing a Yeast Performance Standard for Benchmarking LC-MS Platform Performance*

Birgit Schilling, Lisa J Zimmerman, Christopher R Kinsinger, 2009, Molecular & Cellular Proteomics.

Quantitative bottom-up proteomics depends on digestion conditions.

Mark S Lowenthal, Stephen E Stein, Karen W Phinney, 2014, Analytical chemistry.

Recommendations from the 2008 International Summit on Proteomics Data Release and Sharing Policy: the Amsterdam principles.

Phil Andrews, John R Yates, Rolf Apweiler, 2009, Journal of proteome research.

Dehydration versus deamination of N-terminal glutamine in collision-induced dissociation of protonated peptides

Stephen E Stein, Xiaoyu Yang, Lisa E. Kilpatrick, 2007, Journal of the American Society for Mass Spectrometry.

Combined blood/tissue analysis for cancer biomarker discovery: application to renal cell carcinoma.

Stephen E Stein, Donald J Johann, Timothy D Veenstra, 2010, Analytical chemistry.

In-Depth Characterization and Spectral Library Building of Glycopeptides in the Tryptic Digest of a Monoclonal Antibody Using 1D and 2D LC-MS/MS.

Xinjian Yan, Stephen E Stein, Yuxue Liang, 2016, Journal of proteome research.

Creating a Mass Spectral Reference Library for Oligosaccharides in Human Milk.

Yuri A. Mirokhin, Stephen E Stein, Yuri A Mirokhin, 2018, Analytical chemistry.

Quality control for building libraries from electrospray ionization tandem mass spectra.

Stephen E Stein, Xiaoyu Yang, S. Stein, 2014, Analytical chemistry.

Improved Normalization of Systematic Biases Affecting Ion Current Measurements in Label-free Proteomics Data*

Nell Sedransk, Xinjian Yan, Stephen E Stein, 2014, Molecular & Cellular Proteomics.

Combining Fragment-Ion and Neutral-Loss Matching during Mass Spectral Library Searching: A New General Purpose Algorithm Applicable to Illicit Drug Identification.

Dmitrii V. Tchekhovskoi, Anthony J. Kearsley, Stephen E Stein, 2017, Analytical chemistry.

Reverse and Random Decoy Methods for False Discovery Rate Estimation in High Mass Accuracy Peptide Spectral Library Searches.

Meghan C. Burke, Yuri A. Mirokhin, Dmitrii V. Tchekhovskoi, 2018, Journal of proteome research.

Mass Spectral Library Quality Assurance by Inter-Library Comparison

Stephen E Stein, Karen W Phinney, Dmitrii V Tchekhovskoi, 2017, Journal of The American Society for Mass Spectrometry.