Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra.
about
Technical advances in proteomics: new developments in data-independent acquisitionEffective use of mass spectrometry for glycan and glycopeptide structural analysisAdvances in targeted proteomics and applications to biomedical researchEmerging proteomic technologies for elucidating context-dependent cellular signaling events: A big challenge of tiny proportionsLabel-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretomeSeven perspectives on GPCR H/D-exchange proteomics methodsPICquant: a quantitative platform to measure differential peptide abundance using dual-isotopic labeling with 12C6- and 13C6-phenyl isocyanateData-independent microbial metabolomics with ambient ionization mass spectrometry.Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.Label-Free Quantitation and Mapping of the ErbB2 Tumor Receptor by Multiple Protease Digestion with Data-Dependent (MS1) and Data-Independent (MS2) Acquisitions.Multiplexed MS/MS for improved data-independent acquisition.Clustering and filtering tandem mass spectra acquired in data-independent mode.Mapping differential interactomes by affinity purification coupled with data-independent mass spectrometry acquisition.Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring.Multiplexed and data-independent tandem mass spectrometry for global proteome profiling.Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.Intelligent data acquisition blends targeted and discovery methods.PSEA-Quant: a protein set enrichment analysis on label-free and label-based protein quantification data.Comparison of data acquisition strategies on quadrupole ion trap instrumentation for shotgun proteomics.Biomedical applications of ion mobility-enhanced data-independent acquisition-based label-free quantitative proteomics.Large-scale label-free phosphoproteomics: from technology to data interpretation.DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomicsMultiplexed quantification for data-independent acquisition.Building high-quality assay libraries for targeted analysis of SWATH MS data.Automated Validation of Results and Removal of Fragment Ion Interferences in Targeted Analysis of Data-independent Acquisition Mass Spectrometry (MS) using SWATHProphetExtending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.MS1 Peptide Ion Intensity Chromatograms in MS2 (SWATH) Data Independent Acquisitions. Improving Post Acquisition Analysis of Proteomic Experiments.Multiplexed peptide analysis using data-independent acquisition and SkylineFrom raw data to biological discoveries: a computational analysis pipeline for mass spectrometry-based proteomics.Targeted phosphoproteomics of insulin signaling using data-independent acquisition mass spectrometry.Data-independent-acquisition mass spectrometry for identification of targeted-peptide site-specific modifications.Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass SpectrometryQPROT: Statistical method for testing differential expression using protein-level intensity data in label-free quantitative proteomics.New data base-independent, sequence tag-based scoring of peptide MS/MS data validates Mowse scores, recovers below threshold data, singles out modified peptides, and assesses the quality of MS/MS techniques.mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometryRanking Fragment Ions Based on Outlier Detection for Improved Label-Free Quantification in Data-Independent Acquisition LC-MS/MS.Low Resolution Data-Independent Acquisition in an LTQ-Orbitrap Allows for Simplified and Fully Untargeted Analysis of Histone Modifications.Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics.Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.Data independent acquisition-digital archiving mass spectrometry: application to single kernel mycotoxin analysis of Fusarium graminearum infected maize.
P2860
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P2860
Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra.
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Automated approach for quantit ...... ures from tandem mass spectra.
@ast
Automated approach for quantit ...... ures from tandem mass spectra.
@en
Automated approach for quantit ...... ures from tandem mass spectra.
@nl
type
label
Automated approach for quantit ...... ures from tandem mass spectra.
@ast
Automated approach for quantit ...... ures from tandem mass spectra.
@en
Automated approach for quantit ...... ures from tandem mass spectra.
@nl
prefLabel
Automated approach for quantit ...... ures from tandem mass spectra.
@ast
Automated approach for quantit ...... ures from tandem mass spectra.
@en
Automated approach for quantit ...... ures from tandem mass spectra.
@nl
P2093
P356
P1433
P1476
Automated approach for quantit ...... ures from tandem mass spectra.
@en
P2093
Andrew Dillin
James Wohlschlegel
John D Venable
John R Yates
Meng-Qiu Dong
P2888
P356
10.1038/NMETH705
P577
2004-09-29T00:00:00Z
P6179
1042735274