Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance. - Wikidata - wikimedia - TriplyDB

Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.

Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.

http://www.wikidata.org/entity/Q33697735

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Graft-versus-host disease biomarkers: omics and personalized medicine Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles)A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation QC metrics from CPTAC raw LC-MS/MS data interpreted through multivariate statistics Improved normalization of systematic biases affecting ion current measurements in label-free proteomics data.Signatures for mass spectrometry data quality.Normalyzer: a tool for rapid evaluation of normalization methods for omics data sets Combinatorial libraries of synthetic peptides as a model for shotgun proteomics.Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics.Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling.Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry.Reconstructing the pipeline by introducing multiplexed multiple reaction monitoring mass spectrometry for cancer biomarker verification: an NCI-CPTC initiative perspective.Simulating and validating proteomics data and search results.Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.A bayesian mixture model for comparative spectral count data in shotgun proteomics.Tandem mass spectral libraries of peptides in digests of individual proteins: Human Serum Albumin (HSA).Cysteinyl peptide capture for shotgun proteomics: global assessment of chemoselective fractionation.Mass-spectrometry-based clinical proteomics--a review and prospective.Design and application of a data-independent precursor and product ion repository.A comprehensive full factorial LC-MS/MS proteomics benchmark data set.A software toolkit and interface for performing stable isotope labeling and top3 quantification using Progenesis LC-MS False discovery rates in spectral identification Improved detection specificity for plasma proteins by targeting cysteine-containing peptides with photo-SRM.Protein analysis by shotgun/bottom-up proteomics Targeted quantitation of proteins by mass spectrometry.Analytical validation considerations of multiplex mass-spectrometry-based proteomic platforms for measuring protein biomarkers.Proteome and transcriptome profiles of a Her2/Neu-driven mouse model of breast cancer.Spectral library generating function for assessing spectrum-spectrum match significance Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies.The path to clinical proteomics research: integration of proteomics, genomics, clinical laboratory and regulatory science.A repository of assays to quantify 10,000 human proteins by SWATH-MS.Improving proteome coverage on a LTQ-Orbitrap using design of experiments.The mzqLibrary--An open source Java library supporting the HUPO-PSI quantitative proteomics standard.Advances in Proteomic Technologies and Its Contribution to the Field of Cancer Global stability of plasma proteomes for mass spectrometry-based analyses.Methods to Calculate Spectrum Similarity.Proteomic analysis of oropharyngeal carcinomas reveals novel HPV-associated biological pathways.ROTS: An R package for reproducibility-optimized statistical testing In-depth proteomic analysis of nonsmall cell lung cancer to discover molecular targets and candidate biomarkers.Total ApoE and ApoE4 isoform assays in an Alzheimer's disease case-control study by targeted mass spectrometry (n=669): a pilot assay for methionine-containing proteotypic peptides

P2860

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P2860

Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.

http://www.wikidata.org/entity/Q33697735

description

2009 nî lūn-bûn

@nan

2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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Interlaboratory study characte ...... ng LC-MS platform performance.

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Interlaboratory study characte ...... ng LC-MS platform performance.

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Molecular & Cellular Proteomics

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Interlaboratory study characte ...... ing LC-MS platform performance

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Amanda G Paulovich

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Amy-Joan L Ham

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Asokan Mulayath Variyath

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Birgit Schilling

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Bradford W Gibson

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Christopher R Kinsinger

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Cliff Spiegelman

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David M Bunk

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Dean Billheimer

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Fred E Regnier

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P2860

Linking genome and proteome by mass spectrometry: large-scale identification of yeast proteins from two dimensional gels

MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis

Global analysis of protein localization in budding yeast.

Global analysis of protein expression in yeast

Large-scale analysis of the yeast proteome by multidimensional protein identification technology

Correlation between protein and mRNA abundance in yeast

Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome

Characterization of global yeast quantitative proteome data generated from the wild-type and glucose repression saccharomyces cerevisiae strains: the comparison of two quantitative methods

Multi-component immunoaffinity subtraction chromatography: an innovative step towards a comprehensive survey of the human plasma proteome.

The standard protein mix database: a diverse data set to assist in the production of improved Peptide and protein identification software tools.

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242-254

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10.1074/MCP.M900222-MCP200

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2

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9

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Daniel C. Liebler

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2009-10-26T00:00:00Z

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19858499

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