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个人简介
Technology development lies at the heart of the Smith Lab. We endeavor to anticipate and then create the new analytical tools needed by the biological researchers of tomorrow. Throughout our history, from DNA sequencing to advanced proteomics, we are always pushing the cutting edge. Our credo is to turn science fiction into science. Imagine something important that cannot yet be done, conceive of how to do it, and make it happen. We apply a broad array of techniques to solve many challenges including wet bench biochemistry and cell biology, analytical chemistry, separations, instrument development, instrument software control, bioinformatics, data mining and machine learning. Students trained in our lab develop skills at the bench and on the computer, working at the interface between biology and technology. Students also participate in collaborations with world experts in fields such as cancer, infectious disease, and diabetes.
Mass spectrometry is a core technology for many of the group’s projects. We have interest in developing new methods for preparing, fractionating, separating, and introducing samples into the mass spectrometer, to improve sensitivity for the most challenging analytical problems. We are creating new software control methods to improve the efficiency of the mass spectrometer operation and to improve proteomic coverage. We place a great emphasis on data analysis. We have developed robust software programs for bottom-up and top-down discovery proteomics, PTM-discovery, label-free quantification, O-glycopeptide discovery and localization, and data visualization.
Mass spectrometry is a core technology for many of the group’s projects. We have interest in developing new methods for preparing, fractionating, separating, and introducing samples into the mass spectrometer, to improve sensitivity for the most challenging analytical problems. We are creating new software control methods to improve the efficiency of the mass spectrometer operation and to improve proteomic coverage. We place a great emphasis on data analysis. We have developed robust software programs for bottom-up and top-down discovery proteomics, PTM-discovery, label-free quantification, O-glycopeptide discovery and localization, and data visualization.
研究兴趣
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arxiv(2023)
American journal of physiology. Lung cellular and molecular physiologyno. 1 (2023): L30-L44
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Analytical chemistryno. 41 (2023): 15245-15253
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JOURNAL OF PROTEOME RESEARCHno. 1 (2023): 149-160
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