Strategies to enable large-scale proteomics for reproducible research | Nature Communications
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics | Nature Communications
Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona | Nature Communications
IceR improves proteome coverage and data completeness in global and single-cell proteomics | Nature Communications
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry | Nature Communications
A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins | Scientific Data
DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics | Nature Communications
DIA mass spectrometry | Nature Methods
Quantitative shotgun proteome analysis by direct infusion | Nature Methods
Technical comparison of DDA and different types of DIA in a biological... | Download Scientific Diagram
Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass Spectrometry | Analytical Chemistry
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity | Nature Communications
MaxDIA enables library-based and library-free data-independent acquisition proteomics | Nature Biotechnology
Generating high quality libraries for DIA MS with empirically corrected peptide predictions | Nature Communications
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | Nature Methods
Mass Spectrometry Protocols and Methods | Springer Nature Experiments
IJMS | Free Full-Text | Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis
Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology | Nature Communications
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
Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics | Communications Biology
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide collisional cross section (CCS) measurements and deep learning for 4D-proteomics
A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS | Scientific Data
