Ultra-fast proteomics with Scanning SWATH | Nature Biotechnology
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Mass-spectrometric exploration of proteome structure and function | Nature
IJMS | Free Full-Text | Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis
A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins | Scientific Data
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput | Nature Methods
Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics | Communications Biology
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries | Nature Communications
MaxDIA enables library-based and library-free data-independent acquisition proteomics | Nature Biotechnology
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics | Nature Communications
Generating high quality libraries for DIA MS with empirically corrected peptide predictions | Nature Communications
Technical comparison of DDA and different types of DIA in a biological... | Download Scientific Diagram
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science
Mass Spectrometry Protocols and Methods | Springer Nature Experiments
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
Frontiers | Recent Developments in Data Independent Acquisition (DIA) Mass Spectrometry: Application of Quantitative Analysis of the Brain Proteome
IceR improves proteome coverage and data completeness in global and single-cell proteomics | Nature Communications
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | Nature Methods
Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology | Nature Communications
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity | Nature Communications
DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics | Nature Communications
DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics | Journal of Proteome Research
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
