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Mass-spectrometric exploration of proteome structure and function | Nature
Mass-spectrometric exploration of proteome structure and function | Nature

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

Rapid and site-specific deep phosphoproteome profiling by data-independent  acquisition without the need for spectral libraries | Nature Communications
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries | Nature Communications

PulseDIA: in-depth data independent acquisition mass spectrometry using  enhanced gas phase fractionation | bioRxiv
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv

The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune  Diseases | Molecular & Cellular Proteomics
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
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry | Nature Methods

Discovering cellular protein‐protein interactions: Technological strategies  and opportunities - Titeca - 2019 - Mass Spectrometry Reviews - Wiley  Online Library
Discovering cellular protein‐protein interactions: Technological strategies and opportunities - Titeca - 2019 - Mass Spectrometry Reviews - Wiley Online Library

Robust, reproducible and quantitative analysis of thousands of proteomes by  micro-flow LC–MS/MS | Nature Communications
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications

The workflow of DeepNovo-DIA for de novo sequencing of DIA... | Download  Scientific Diagram
The workflow of DeepNovo-DIA for de novo sequencing of DIA... | Download Scientific Diagram

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep  learning | Nature Methods
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods

Group-DIA: analyzing multiple data-independent acquisition mass spectrometry  data files | Nature Methods
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods

Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a  tutorial | Molecular Systems Biology
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology

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

SWATH-MS – Institute of Molecular Systems Biology | ETH Zurich
SWATH-MS – Institute of Molecular Systems Biology | ETH Zurich

DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a  single LC-MS/MS run | bioRxiv
DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run | bioRxiv

Chromatogram libraries improve peptide detection and quantification by data  independent acquisition mass spectrometry | Nature Communications
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications

PulseDIA: in-depth data independent acquisition mass spectrometry using  enhanced gas phase fractionation | bioRxiv
PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv

Optimization of Experimental Parameters in Data-Independent Mass  Spectrometry Significantly Increases Depth and Reproducibility
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility

Mass spectrometry and proteomics
Mass spectrometry and proteomics

Data-independent acquisition mass spectrometry (DIA-MS) for proteomic  applications in oncology - Molecular Omics (RSC Publishing)  DOI:10.1039/D0MO00072H
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H

Data-Independent Acquisition: A Superior Technique in Mass Spectrometry? |  Technology Networks
Data-Independent Acquisition: A Superior Technique in Mass Spectrometry? | Technology Networks

DIA mass spectrometry | Nature Methods
DIA mass spectrometry | Nature Methods

Data-independent acquisition mass spectrometry (DIA-MS) for proteomic  applications in oncology - Molecular Omics (RSC Publishing)  DOI:10.1039/D0MO00072H
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
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications