Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
DIA mass spectrometry | Nature Methods
Discovering cellular protein‐protein interactions: Technological strategies and opportunities - Titeca - 2019 - Mass Spectrometry Reviews - Wiley Online Library
Machine Learning in Mass Spectrometric Analysis of DIA Data - Xu - - PROTEOMICS - Wiley Online Library
Mass spectrometry and proteomics
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
Mass-spectrometric exploration of proteome structure and function | Nature
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition | SpringerLink
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
CompMS | MS-DIAL
Nature Methods on Twitter: "Avant-garde: a tool for refining DIA-mass spectrometry data. @JaffeLab https://t.co/zIWJ9PUYiz… "
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
SWATH mass spectrometry as a tool for quantitative profiling of the matrisome - ScienceDirect
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries | Nature Communications
The workflow of DeepNovo-DIA for de novo sequencing of DIA... | Download Scientific Diagram
Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains | Molecular & Cellular Proteomics
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run | bioRxiv
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases | Molecular & Cellular Proteomics
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry | Nature Methods
