Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods
DIA mass spectrometry | Nature Methods
General workflows for processing DIA spectra. (A) Generation of... | Download Scientific Diagram
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
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
SWATH analysis - Why an advantage in mass spectrometry?
Mass spectrometry and proteomics
DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run | bioRxiv
CompMS | MS-DIAL
Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition | SpringerLink
Data-Independent Acquisition: A Superior Technique in Mass Spectrometry? | Technology Networks
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines - ScienceDirect
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
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Machine Learning in Mass Spectrometric Analysis of DIA Data - Xu - - PROTEOMICS - Wiley Online Library
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
The workflow of DeepNovo-DIA for de novo sequencing of DIA... | Download Scientific Diagram
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
