PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
General workflows for processing DIA spectra. (A) Generation of... | Download Scientific Diagram
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition | SpringerLink
Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains | Molecular & Cellular Proteomics
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
SWATH analysis - Why an advantage in mass spectrometry?
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
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
Mass spectrometry and proteomics
CompMS | MS-DIAL
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry | Nature Methods
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science
Mass-spectrometric exploration of proteome structure and function | Nature
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
The workflow of DeepNovo-DIA for de novo sequencing of DIA... | Download Scientific Diagram
SWATH-MS – Institute of Molecular Systems Biology | ETH Zurich
