Sean L. Seymour, Ph.D.
Affiliations: | 2001 | University of California, Berkeley, Berkeley, CA, United States |
Area:
fundamental aspects of enzyme catalysisGoogle:
"Sean Seymour"Parents
Sign in to add mentorJudith Pollock Klinman | grad student | 2001 | UC Berkeley | |
(The influence of enzyme surface and environmental modifications on catalysis examined with probes for hydrogen tunneling.) |
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Publications
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Binz PA, Shofstahl J, Vizcaíno JA, et al. (2019) Proteomics Standards Initiative Extended FASTA Format (PEFF). Journal of Proteome Research |
Seymour SL, Farrah T, Binz PA, et al. (2014) A standardized framing for reporting protein identifications in mzIdentML 1.2. Proteomics. 14: 2389-99 |
Jagtap P, Goslinga J, Kooren JA, et al. (2013) A two-step database search method improves sensitivity in peptide sequence matches for metaproteomics and proteogenomics studies. Proteomics. 13: 1352-7 |
Chambers MC, Maclean B, Burke R, et al. (2012) A cross-platform toolkit for mass spectrometry and proteomics. Nature Biotechnology. 30: 918-20 |
Jagtap P, Bandhakavi S, Higgins L, et al. (2012) Workflow for analysis of high mass accuracy salivary data set using MaxQuant and ProteinPilot search algorithm. Proteomics. 12: 1726-30 |
Jagtap P, McGowan T, Bandhakavi S, et al. (2012) Deep metaproteomic analysis of human salivary supernatant. Proteomics. 12: 992-1001 |
Jones AR, Eisenacher M, Mayer G, et al. (2012) The mzIdentML data standard for mass spectrometry-based proteomics results. Molecular & Cellular Proteomics : McP. 11: M111.014381 |
Kinsinger CR, Apffel J, Baker M, et al. (2012) Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles). Proteomics. 12: 11-20 |
Kinsinger CR, Apffel J, Baker M, et al. (2012) Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles). Journal of Proteome Research. 11: 1412-9 |
Tambor V, Hunter CL, Seymour SL, et al. (2012) CysTRAQ - A combination of iTRAQ and enrichment of cysteinyl peptides for uncovering and quantifying hidden proteomes. Journal of Proteomics. 75: 857-67 |