A multicenter study benchmarks software tools for label-free proteome quantification. - Wikidata - wikimedia - TriplyDB

A multicenter study benchmarks software tools for label-free proteome quantification.

A multicenter study benchmarks software tools for label-free proteome quantification.

http://www.wikidata.org/entity/Q37432423

about

SWATH-ID: An instrument method which combines identification and quantification in a single analysis.Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS.Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.Immunoaffinity techniques coupled to mass spectrometry for the analysis of human peptide hormones: advances and applications.Quantitative proteomics: challenges and opportunities in basic and applied research.Proteomic explorations of autism spectrum disorder.Protein-species quantitative venomics: looking through a crystal ball.A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation.Current trends in quantitative proteomics - an update.DIA is not a new mass spectrometry acquisition method.Comparative evaluation of label-free quantification methods for shotgun proteomics.Quality control in mass spectrometry-based proteomics.Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results.Proteomics and phosphoproteomics in precision medicine: applications and challenges.Protein Turnover in Aging and Longevity.Systems proteomics approaches to study bacterial pathogens: application to Mycobacterium tuberculosis.H2 drives metabolic rearrangements in gas-fermenting Clostridium autoethanogenum.Proteome-Wide Evaluation of Two Common Protein Quantification Methods.Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics.Future Prospects of Spectral Clustering Approaches in Proteomics In Search of Biomarkers for Pathogenesis and Control of Leishmaniasis by Global Analyses of -Infected Macrophages Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial

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A multicenter study benchmarks software tools for label-free proteome quantification.

http://www.wikidata.org/entity/Q37432423

description

article científic

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article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 03 October 2016

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

A multicenter study benchmarks software tools for label-free proteome quantification.

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A multicenter study benchmarks software tools for label-free proteome quantification.

@nl

type

label

A multicenter study benchmarks software tools for label-free proteome quantification.

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A multicenter study benchmarks software tools for label-free proteome quantification.

@nl

prefLabel

A multicenter study benchmarks software tools for label-free proteome quantification.

@en

A multicenter study benchmarks software tools for label-free proteome quantification.

@nl

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Nature Biotechnology

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A multicenter study benchmarks software tools for label-free proteome quantification.

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Alexey I Nesvizhskii

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Brendan MacLean

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Chih-Chiang Tsou

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Ludovic C Gillet

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Lukas Reiter

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Oliver M Bernhardt

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Pedro Navarro

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Stefan Tenzer

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Ute Distler

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P2860

Probability-based protein identification by searching sequence databases using mass spectrometry data

Mass spectrometry-based proteomics

A statistical model for identifying proteins by tandem mass spectrometry

Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry

The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013

Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

A model for random sampling and estimation of relative protein abundance in shotgun proteomics

Universal sample preparation method for proteome analysis

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

Clustering and filtering tandem mass spectra acquired in data-independent mode.

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1130-1136

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scholarly article

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10.1038/NBT.3685

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11

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34

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George Rosenberger

Hannes L. Röst

Yasset Perez-Riverol

Ruedi Aebersold

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2016-10-03T00:00:00Z

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1005687551

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27701404

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multicenter trial

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5120688

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