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Molecular & Cellular Proteomics : MCP
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July 29, 2015
Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data
Ying S Ting, Jarrett D Egertson, Samuel H Payne, et al.
Nature Protocols
|
February 13, 2015
Building high-quality assay libraries for targeted analysis of SWATH MS data
Olga T Schubert, Ludovic C Gillet, Ben C Collins, et al.
Journal of Proteome Research
|
May 8, 2012
Label-free quantitation of protein modifications by pseudo selected reaction monitoring with internal reference peptides
Stacy D Sherrod, Matthew V Myers, Ming Li, et al.
Nature Methods
|
November 17, 2020
Avant-garde: an automated data-driven DIA data curation tool
Alvaro Sebastian Vaca Jacome, Ryan Peckner, Nicholas Shulman, et al.
Biorxiv : the Preprint Server for Biology
|
June 19, 2024
Koina: Democratizing machine learning for proteomics research
Ludwig Lautenbacher, Kevin L Yang, Tobias Kockmann, et al.
Analytical Chemistry
|
September 24, 2015
Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows
Birgit Schilling, Brendan MacLean, Jason M Held, et al.
Journal of Proteome Research
|
September 27, 2022
TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies
Nathan Basisty, Nicholas Shulman, Cameron Wehrfritz, et al.
Journal of Proteome Research
|
December 20, 2016
ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of Differentially Abundant Proteins in Label-Free Quantitative LC-MS/MS Experiments
Meena Choi, Zeynep F Eren-Dogu, Christopher Colangelo, et al.
Nature Methods
|
June 28, 2014
CPTAC Assay Portal: a repository of targeted proteomic assays
Jeffrey R Whiteaker, Goran N Halusa, Andrew N Hoofnagle, et al.
Nature Biotechnology
|
November 8, 2016
A multicenter study benchmarks software tools for label-free proteome quantification
Pedro Navarro, Jörg Kuharev, Ludovic C Gillet, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 44) with videos related to
Sort By:
Page
of 5
Molecular & Cellular Proteomics : MCP
|
July 29, 2015
Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data
Ying S Ting, Jarrett D Egertson, Samuel H Payne, et al.
Nature Protocols
|
February 13, 2015
Building high-quality assay libraries for targeted analysis of SWATH MS data
Olga T Schubert, Ludovic C Gillet, Ben C Collins, et al.
Journal of Proteome Research
|
May 8, 2012
Label-free quantitation of protein modifications by pseudo selected reaction monitoring with internal reference peptides
Stacy D Sherrod, Matthew V Myers, Ming Li, et al.
Nature Methods
|
November 17, 2020
Avant-garde: an automated data-driven DIA data curation tool
Alvaro Sebastian Vaca Jacome, Ryan Peckner, Nicholas Shulman, et al.
Biorxiv : the Preprint Server for Biology
|
June 19, 2024
Koina: Democratizing machine learning for proteomics research
Ludwig Lautenbacher, Kevin L Yang, Tobias Kockmann, et al.
Analytical Chemistry
|
September 24, 2015
Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows
Birgit Schilling, Brendan MacLean, Jason M Held, et al.
Journal of Proteome Research
|
September 27, 2022
TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies
Nathan Basisty, Nicholas Shulman, Cameron Wehrfritz, et al.
Journal of Proteome Research
|
December 20, 2016
ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of Differentially Abundant Proteins in Label-Free Quantitative LC-MS/MS Experiments
Meena Choi, Zeynep F Eren-Dogu, Christopher Colangelo, et al.
Nature Methods
|
June 28, 2014
CPTAC Assay Portal: a repository of targeted proteomic assays
Jeffrey R Whiteaker, Goran N Halusa, Andrew N Hoofnagle, et al.
Nature Biotechnology
|
November 8, 2016
A multicenter study benchmarks software tools for label-free proteome quantification
Pedro Navarro, Jörg Kuharev, Ludovic C Gillet, et al.
Page
of 5