IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
about
Global analysis of cdc14 dephosphorylation sites reveals essential regulatory role in mitosis and cytokinesisThe SIB Swiss Institute of Bioinformatics' resources: focus on curated databasesAnalysis of 953 human proteins from a mitochondrial HEK293 fraction by complexome profilingComputational and informatics strategies for identification of specific protein interaction partners in affinity purification mass spectrometry experimentsProteomics-identified Bvg-activated autotransporters protect against bordetella pertussis in a mouse model.SAINT-MS1: protein-protein interaction scoring using label-free intensity data in affinity purification-mass spectrometry experiments.Analyzing protein-protein interactions from affinity purification-mass spectrometry data with SAINTLFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.Integrative analysis of proteomic and transcriptomic data for identification of pathways related to simvastatin-induced hepatotoxicity.mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets.DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomicsRole of S-Palmitoylation by ZDHHC13 in Mitochondrial function and Metabolism in Liver.i-RUBY: a novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins.Phosphoproteomics identifies oncogenic Ras signaling targets and their involvement in lung adenocarcinomas.Interplay between SIN3A and STAT3 mediates chromatin conformational changes and GFAP expression during cellular differentiationThe vaccine potential of Bordetella pertussis biofilm-derived membrane proteins.Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data.A comprehensive full factorial LC-MS/MS proteomics benchmark data set.Phosphoproteomics characterization of novel phosphorylated sites of lens proteins from normal and cataractous human eye lensesProtein analysis by shotgun/bottom-up proteomicsAn informatics-assisted label-free approach for personalized tissue membrane proteomics: case study on colorectal cancer.iPhos: a toolkit to streamline the alkaline phosphatase-assisted comprehensive LC-MS phosphoproteome investigation.Large-scale determination of absolute phosphorylation stoichiometries in human cells by motif-targeting quantitative proteomics.Comparative proteomic analysis of proteins involved in the tumorigenic process of seminal vesicle carcinoma in transgenic miceDifferential expression of midgut proteins in Trypanosoma brucei gambiense-stimulated vs. non-stimulated Glossina palpalis gambiensis flies.In-depth identification of pathways related to cisplatin-induced hepatotoxicity through an integrative method based on an informatics-assisted label-free protein quantitation and microarray gene expression approach.MZDASoft: a software architecture that enables large-scale comparison of protein expression levels over multiple samples based on liquid chromatography/tandem mass spectrometryLabel-free quantification and shotgun analysis of complex proteomes by one-dimensional SDS-PAGE/NanoLC-MS: evaluation for the large scale analysis of inflammatory human endothelial cellsCurrent challenges in software solutions for mass spectrometry-based quantitative proteomics.Label-free quantitative proteomics and N-glycoproteomics analysis of KRAS-activated human bronchial epithelial cells.Quantitative Profiling of Post-translational Modifications by Immunoaffinity Enrichment and LC-MS/MS in Cancer Serum without Immunodepletion.Regulation of HGF expression by ΔEGFR-mediated c-Met activation in glioblastoma cellsIssues and applications in label-free quantitative mass spectrometry.Label-free quantitative proteomics of CD133-positive liver cancer stem cellsTemporal regulation of Lsp1 O-GlcNAcylation and phosphorylation during apoptosis of activated B cells.Comparative and Quantitative Global Proteomics Approaches: An Overview.Phosphoproteomics Reveals HMGA1, a CK2 Substrate, as a Drug-Resistant Target in Non-Small Cell Lung Cancer.Label-free mass spectrometry-based proteomics for biomarker discovery and validation.The use of selected reaction monitoring in quantitative proteomics.Transcriptomics and proteomics in stem cell research.
P2860
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P2860
IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
IDEAL-Q, an automated tool for ...... and spectral data validation.
@ast
IDEAL-Q, an automated tool for ...... and spectral data validation.
@en
type
label
IDEAL-Q, an automated tool for ...... and spectral data validation.
@ast
IDEAL-Q, an automated tool for ...... and spectral data validation.
@en
prefLabel
IDEAL-Q, an automated tool for ...... and spectral data validation.
@ast
IDEAL-Q, an automated tool for ...... and spectral data validation.
@en
P2093
P2860
P1476
IDEAL-Q, an automated tool for ...... and spectral data validation.
@en
P2093
Chia-Feng Tsai
Jeou-Yuan Chen
Putty-Reddy Sudhir
Ting-Yi Sung
Wen-Lian Hsu
Yi-Ting Wang
Ying-Hao Tsui
Yu-Ju Chen
P2860
P304
P356
10.1074/MCP.M900177-MCP200
P577
2009-09-13T00:00:00Z