A computational approach toward label-free protein quantification using predicted peptide detectability.
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Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomesWhole proteome analysis of post-translational modifications: applications of mass-spectrometry for proteogenomic annotationBone protein extraction without demineralization using principles from hydroxyapatite chromatographyThe application of mass-spectrometry-based protein biomarker discovery to theragnosticsGetting started in computational mass spectrometry-based proteomicsTime-series alignment by non-negative multiple generalized canonical correlation analysis.A statistical approach to peptide identification from clustered tandem mass spectrometry data.Building high-quality assay libraries for targeted analysis of SWATH MS data.Combinatorial libraries of synthetic peptides as a model for shotgun proteomics.On the privacy risks of sharing clinical proteomics dataLC-MSsim--a simulation software for liquid chromatography mass spectrometry dataPeak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsThe APEX Quantitative Proteomics Tool: generating protein quantitation estimates from LC-MS/MS proteomics results.Robust MS quantification method for phospho-peptides using 18O/16O labeling.Proteomics data repositoriesOn the accuracy and limits of peptide fragmentation spectrum predictionComputational and statistical analysis of protein mass spectrometry data.Detecting differential protein expression in large-scale population proteomics.Computational approaches to protein inference in shotgun proteomics.In silico design of targeted SRM-based experiments.Extending the coverage of spectral libraries: a neighbor-based approach to predicting intensities of peptide fragmentation spectra.Optimal precursor ion selection for LC-MALDI MS/MS.Bayesian proteoform modeling improves protein quantification of global proteomic measurements.The PeptideAtlas Project.Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics.A high-confidence human plasma proteome reference set with estimated concentrations in PeptideAtlasA peptide resource for the analysis of Staphylococcus aureus in host-pathogen interaction studies.Protein landscape at Drosophila melanogaster telomere-associated sequence repeats.Inference and validation of protein identifications.PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.How to comprehensively analyse proteins and how this influences nutritional research.Recommendations for the Generation, Quantification, Storage, and Handling of Peptides Used for Mass Spectrometry-Based AssaysTargeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoringThe development of selected reaction monitoring methods for targeted proteomics via empirical refinement.Label-free protein quantitation using weighted spectral countingDevelopment of a Chip/Chip/SRM platform using digital chip isoelectric focusing and LC-Chip mass spectrometry for enrichment and quantitation of low abundance protein biomarkers in human plasma.Protein abundance ratios for global studies of prokaryotes.The non-coding B2 RNA binds to the DNA cleft and active-site region of RNA polymerase II.Selected reaction monitoring for quantitative proteomics: a tutorialQuantitative proteomics of intracellular Porphyromonas gingivalis
P2860
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P2860
A computational approach toward label-free protein quantification using predicted peptide detectability.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
A computational approach towar ...... edicted peptide detectability.
@en
A computational approach towar ...... edicted peptide detectability.
@nl
type
label
A computational approach towar ...... edicted peptide detectability.
@en
A computational approach towar ...... edicted peptide detectability.
@nl
prefLabel
A computational approach towar ...... edicted peptide detectability.
@en
A computational approach towar ...... edicted peptide detectability.
@nl
P2093
P356
P1433
P1476
A computational approach towar ...... edicted peptide detectability.
@en
P2093
David E Clemmer
Haixu Tang
James P Reilly
Milos V Novotny
Pedro Alves
Randy J Arnold
Zhiyin Xun
P304
P356
10.1093/BIOINFORMATICS/BTL237
P407
P577
2006-07-01T00:00:00Z