DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
about
Advances in targeted proteomics and applications to biomedical researchIdentification of small molecules using accurate mass MS/MS searchIdentification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass SpectrometryRanking Fragment Ions Based on Outlier Detection for Improved Label-Free Quantification in Data-Independent Acquisition LC-MS/MS.Reproducible quantitative proteotype data matrices for systems biology.SWATH2stats: An R/Bioconductor Package to Process and Convert Quantitative SWATH-MS Proteomics Data for Downstream Analysis Tools.Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms.Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics.Efficient visualization of high-throughput targeted proteomics experiments: TAPIR.Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS.TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomicsDinosaur: A Refined Open-Source Peptide MS Feature Detector.Quantitative proteomic characterization of lung-MSC and bone marrow-MSC using DIA-mass spectrometryMulti-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses.Enhanced differential expression statistics for data-independent acquisition proteomics.Proteogenomics: Key Driver for Clinical Discovery and Personalized Medicine.Systems-level Proteomics of Two Ubiquitous Leaf Commensals Reveals Complementary Adaptive Traits for Phyllosphere Colonization.Streptococcus pyogenes Infection and the Human Proteome with a Special Focus on the Immunoglobulin G-cleaving Enzyme IdeS.Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial
P2860
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P2860
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@ast
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@en
type
label
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@ast
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@en
prefLabel
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@ast
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@en
P2860
P50
P356
P1433
P1476
DIANA--algorithmic improvements for analysis of data-independent acquisition MS data.
@en
P2093
Johan Teleman
Uwe Schmitt
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU686
P407
P577
2014-10-27T00:00:00Z