Automatic validation of phosphopeptide identifications from tandem mass spectra.
about
MUMAL: multivariate analysis in shotgun proteomics using machine learning techniquesUnambiguous phosphosite localization using electron-transfer/higher-energy collision dissociation (EThcD)Shotgun proteomics in neuroscienceIn-line separation by capillary electrophoresis prior to analysis by top-down mass spectrometry enables sensitive characterization of protein complexesRecommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles)Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.From raw data to biological discoveries: a computational analysis pipeline for mass spectrometry-based proteomics.PhosphoScore: an open-source phosphorylation site assignment tool for MSn data.Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomicsIntegrated platform for manual and high-throughput statistical validation of tandem mass spectra.Strategies for quantitation of phosphoproteomic data.Polo-like kinase 4 kinase activity limits centrosome overduplication by autoregulating its own stability.Integrated data management and validation platform for phosphorylated tandem mass spectrometry data.Protein kinase C-η controls CTLA-4-mediated regulatory T cell function.Differential proteomic analysis of mammalian tissues using SILAM.A comparative phosphoproteomic analysis of a human tumor metastasis model using a label-free quantitative approachQuantitative in vivo analyses reveal calcium-dependent phosphorylation sites and identifies a novel component of the Toxoplasma invasion motor complexPhosphorylation site localization in peptides by MALDI MS/MS and the Mascot Delta Score.Shotgun proteomics aids discovery of novel protein-coding genes, alternative splicing, and "resurrected" pseudogenes in the mouse genomePhospho-regulation of DDA3 function in mitosisToward a complete in silico, multi-layered embryonic stem cell regulatory network.Calcium signaling through CaMKII regulates hepatic glucose production in fasting and obesityProtein analysis by shotgun/bottom-up proteomicsUnderstanding protein phosphorylation on a systems level.PhosphoHunter: An Efficient Software Tool for Phosphopeptide Identification.Overlapping kinetochore targets of CK2 and Aurora B kinases in mitotic regulation.Single-step inline hydroxyapatite enrichment facilitates identification and quantitation of phosphopeptides from mass-limited proteomes with MudPITPhosphoScan: a probability-based method for phosphorylation site prediction using MS2/MS3 pair information.Taking aim at shotgun phosphoproteomicsAn automated platform for analysis of phosphoproteomic datasets: application to kidney collecting duct phosphoproteins.Proteomics in the characterization of adipose dysfunction in obesity.Phosphorylation-specific MS/MS scoring for rapid and accurate phosphoproteome analysisQuantitative analysis of brain nuclear phosphoproteins identifies developmentally regulated phosphorylation events.Combined integrin phosphoproteomic analyses and small interfering RNA--based functional screening identify key regulators for cancer cell adhesion and migration.Motif-specific sampling of phosphoproteomes.Existing bioinformatics tools for the quantitation of post-translational modifications.Tandem mass spectrometry strategies for phosphoproteome analysis.Linking the proteins--elucidation of proteome-scale networks using mass spectrometry.Phosphoproteomic analysis: an emerging role in deciphering cellular signaling in human embryonic stem cells and their differentiated derivatives.Software eyes for protein post-translational modifications.
P2860
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P2860
Automatic validation of phosphopeptide identifications from tandem mass spectra.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@en
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@nl
type
label
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@en
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@nl
prefLabel
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@en
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@nl
P2093
P2860
P356
P1433
P1476
Automatic validation of phosphopeptide identifications from tandem mass spectra.
@en
P2093
Bingwen Lu
John Yates
Sung Kyu Park
P2860
P304
P356
10.1021/AC061334V
P407
P577
2007-02-01T00:00:00Z