Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
Data-Independent Acquisition: A Superior Technique in Mass Spectrometry? | Technology Networks
Mass-spectrometric exploration of proteome structure and function | Nature
General workflows for processing DIA spectra. (A) Generation of... | Download Scientific Diagram
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry | Nature Methods
SWATH mass spectrometry as a tool for quantitative profiling of the matrisome - ScienceDirect
Machine Learning in Mass Spectrometric Analysis of DIA Data - Xu - - PROTEOMICS - Wiley Online Library
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases | Molecular & Cellular Proteomics
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science
Mass spectrometry and proteomics
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition | SpringerLink
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
Discovering cellular protein‐protein interactions: Technological strategies and opportunities - Titeca - 2019 - Mass Spectrometry Reviews - Wiley Online Library
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains | Molecular & Cellular Proteomics
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods
