Strategies to enable large-scale proteomics for reproducible research | Nature Communications
IceR improves proteome coverage and data completeness in global and single-cell proteomics | Nature Communications
DIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics | Nature Communications
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity | Nature Communications
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics | Communications Biology
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science
MaxDIA enables library-based and library-free data-independent acquisition proteomics | Nature Biotechnology
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | Nature Methods
Mass-spectrometric exploration of proteome structure and function | Nature
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale | Nature Communications
New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide
Hybrid-DIA: intelligent data acquisition integrates targeted and discovery proteomics to analyze phospho-signaling in single spheroids | Nature Communications
Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling | Journal of Proteome Research
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput | Nature Methods
Quantitative shotgun proteome analysis by direct infusion | Nature Methods
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
DDA and DIA are the common data acquisition strategies in shotgun... | Download Scientific Diagram
Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass Spectrometry | Analytical Chemistry
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics | Nature Methods
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
Frontiers | Recent Developments in Data Independent Acquisition (DIA) Mass Spectrometry: Application of Quantitative Analysis of the Brain Proteome
