Mass spectrometry and proteomics
DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run | bioRxiv
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology - Molecular Omics (RSC Publishing) DOI:10.1039/D0MO00072H
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries | Nature Communications
General workflows for processing DIA spectra. (A) Generation of... | Download Scientific Diagram
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
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
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases | Molecular & Cellular Proteomics
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
Nature Methods on Twitter: "Avant-garde: a tool for refining DIA-mass spectrometry data. @JaffeLab https://t.co/zIWJ9PUYiz… "
Discovering cellular protein‐protein interactions: Technological strategies and opportunities - Titeca - 2019 - Mass Spectrometry Reviews - Wiley Online Library
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
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
Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains | Molecular & Cellular Proteomics
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry | Nature Communications
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning | Nature Methods
Mass-spectrometric exploration of proteome structure and function | Nature
Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines - ScienceDirect
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial | Molecular Systems Biology
CompMS | MS-DIAL
