PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation | bioRxiv
Mass spectrometry and proteomics
Mass spectrometry and proteomics
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
Mass-spectrometric exploration of proteome structure and function | Nature
Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files | Nature Methods
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS | Nature Communications
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
General workflows for processing DIA spectra. (A) Generation of... | Download Scientific Diagram
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run | bioRxiv
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics | Nature Communications
Data-Independent Acquisition: A Superior Technique in Mass Spectrometry? | Technology Networks
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
Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines - ScienceDirect
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
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility
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
DIA mass spectrometry | Nature Methods
Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains | Molecular & Cellular Proteomics
Machine Learning in Mass Spectrometric Analysis of DIA Data - Xu - - PROTEOMICS - Wiley Online Library
