PEPPeR, a platform for experimental proteomic pattern recognition.
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Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instrumentsAssessing bias in experiment design for large scale mass spectrometry-based quantitative proteomicsLabel-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretomeMicroproteomics: quantitative proteomic profiling of small numbers of laser-captured cellsComputational and informatics strategies for identification of specific protein interaction partners in affinity purification mass spectrometry experimentsEnhanced peptide quantification using spectral count clustering and cluster abundance.Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.Profile-Based LC-MS data alignment--a Bayesian approach.A flexible statistical model for alignment of label-free proteomics data--incorporating ion mobility and product ion informationDeMix-Q: Quantification-Centered Data Processing Workflow.Intelligent data acquisition blends targeted and discovery methods.Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data.mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets.Preprocessing and Analysis of LC-MS-Based Proteomic DataSignificance analysis of spectral count data in label-free shotgun proteomicsData analysis and bioinformatics tools for tandem mass spectrometry in proteomics.Alignment of LC-MS images, with applications to biomarker discovery and protein identification.A strategy for the prior processing of high-resolution mass spectral data obtained from high-dimensional combined fractional diagonal chromatography.Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biology.High-throughput and targeted in-depth mass spectrometry-based approaches for biofluid profiling and biomarker discovery.Differential Plasma Glycoproteome of p19 Skin Cancer Mouse Model Using the Corra Label-Free LC-MS Proteomics PlatformQuantitative proteomics and biomarker discovery in human cancerClustering with position-specific constraints on variance: applying redescending M-estimators to label-free LC-MS data analysisAccurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.Mass spectrometry-based proteomics: existing capabilities and future directionsProtein analysis by shotgun/bottom-up proteomicsQuantitative measurement of phosphoproteome response to osmotic stress in arabidopsis based on Library-Assisted eXtracted Ion Chromatogram (LAXIC)Quantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.Methods for peptide and protein quantitation by liquid chromatography-multiple reaction monitoring mass spectrometry.Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies.Liquid chromatography-mass spectrometry-based quantitative proteomics.Unraveling pancreatic islet biology by quantitative proteomics.A statistical method for assessing peptide identification confidence in accurate mass and time tag proteomics.Image analysis tools and emerging algorithms for expression proteomics.File formats commonly used in mass spectrometry proteomics.
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PEPPeR, a platform for experimental proteomic pattern recognition.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on 19 July 2006
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vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
PEPPeR, a platform for experimental proteomic pattern recognition.
@en
PEPPeR, a platform for experimental proteomic pattern recognition.
@nl
type
label
PEPPeR, a platform for experimental proteomic pattern recognition.
@en
PEPPeR, a platform for experimental proteomic pattern recognition.
@nl
prefLabel
PEPPeR, a platform for experimental proteomic pattern recognition.
@en
PEPPeR, a platform for experimental proteomic pattern recognition.
@nl
P2093
P2860
P1476
PEPPeR, a platform for experimental proteomic pattern recognition
@en
P2093
Jacob D Jaffe
Kyriacos C Leptos
Michael A Gillette
Steven A Carr
P2860
P304
P356
10.1074/MCP.M600222-MCP200
P577
2006-07-19T00:00:00Z