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Nicholas Shulman

Showing results (11-20 of 21) with videos related to

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Journal of Proteome Research|December 7, 2021
Development and Application of Multidimensional Lipid Libraries to Investigate Lipidomic Dysregulation Related to Smoke Inhalation Injury SeverityKaylie I Kirkwood, Michael W Christopher, Jefferey L Burgess, et al.
Biorxiv : the Preprint Server for Biology|April 10, 2026
Carafe2 enables high quality <i>in silico</i> spectral library generation for timsTOF data-independent acquisition proteomicsBo Wen, J Sebastian Paez, Chris Hsu, et al.
Journal of Proteome Research|September 27, 2022
TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling StudiesNathan Basisty, Nicholas Shulman, Cameron Wehrfritz, et al.
Structure (London, England : 1993)|June 18, 2022
Cullin-independent recognition of HHARI substrates by a dynamic RBR catalytic domainKatherine H Reiter, Alex Zelter, Maria K Janowska, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Evaluation of a prototype Orbitrap Astral Zoom mass spectrometer for quantitative proteomics - Beyond identification listsChris Hsu, Nicholas Shulman, Hamish Stewart, et al.
Bioinformatics (Oxford, England)|May 13, 2014
A framework for installable external tools in SkylineDaniel Broudy, Trevor Killeen, Meena Choi, et al.
Journal of Proteome Research|October 22, 2025
Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification ListsChris Hsu, Nicholas Shulman, Hamish I Stewart, et al.
Journal of Proteome Research|September 8, 2023
Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent AcquisitionLilian R Heil, Eugen Damoc, Tabiwang N Arrey, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent AcquisitionLilian R Heil, Eugen Damoc, Tabiwang N Arrey, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in miceAlex Zelter, Michael Riffle, Gennifer E Merrihew, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Journal of Proteome Research|December 7, 2021
Development and Application of Multidimensional Lipid Libraries to Investigate Lipidomic Dysregulation Related to Smoke Inhalation Injury SeverityKaylie I Kirkwood, Michael W Christopher, Jefferey L Burgess, et al.
Biorxiv : the Preprint Server for Biology|April 10, 2026
Carafe2 enables high quality <i>in silico</i> spectral library generation for timsTOF data-independent acquisition proteomicsBo Wen, J Sebastian Paez, Chris Hsu, et al.
Journal of Proteome Research|September 27, 2022
TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling StudiesNathan Basisty, Nicholas Shulman, Cameron Wehrfritz, et al.
Structure (London, England : 1993)|June 18, 2022
Cullin-independent recognition of HHARI substrates by a dynamic RBR catalytic domainKatherine H Reiter, Alex Zelter, Maria K Janowska, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Evaluation of a prototype Orbitrap Astral Zoom mass spectrometer for quantitative proteomics - Beyond identification listsChris Hsu, Nicholas Shulman, Hamish Stewart, et al.
Bioinformatics (Oxford, England)|May 13, 2014
A framework for installable external tools in SkylineDaniel Broudy, Trevor Killeen, Meena Choi, et al.
Journal of Proteome Research|October 22, 2025
Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification ListsChris Hsu, Nicholas Shulman, Hamish I Stewart, et al.
Journal of Proteome Research|September 8, 2023
Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent AcquisitionLilian R Heil, Eugen Damoc, Tabiwang N Arrey, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent AcquisitionLilian R Heil, Eugen Damoc, Tabiwang N Arrey, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in miceAlex Zelter, Michael Riffle, Gennifer E Merrihew, et al.
Pageof 3