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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

Mass Spectrometry Protocols and Methods | Springer Nature Experiments
Mass Spectrometry Protocols and Methods | Springer Nature Experiments

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

Frontiers | Recent Developments in Data Independent Acquisition (DIA) Mass  Spectrometry: Application of Quantitative Analysis of the Brain Proteome
Frontiers | Recent Developments in Data Independent Acquisition (DIA) Mass Spectrometry: Application of Quantitative Analysis of the Brain Proteome

Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual  Library Substantially Deepens the Proteome Coverage - ScienceDirect
Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage - ScienceDirect

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

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

Ultra-fast proteomics with Scanning SWATH | Nature Biotechnology
Ultra-fast proteomics with Scanning SWATH | Nature Biotechnology

DIA-NN: neural networks and interference correction enable deep proteome  coverage in high throughput | Nature Methods
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput | Nature Methods

New Nature Communications publication by Mann & Theis Groups harnesses the  benefits of large-scale peptide collisional cross section (CCS)  measurements and deep learning for 4D-proteomics
New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide collisional cross section (CCS) measurements and deep learning for 4D-proteomics

Proteomes | Free Full-Text | A Critical Review of Bottom-Up Proteomics: The  Good, the Bad, and the Future of This Field
Proteomes | Free Full-Text | A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of This Field

Frontiers | Proteomics Approaches for Biomarker and Drug Target Discovery  in ALS and FTD
Frontiers | Proteomics Approaches for Biomarker and Drug Target Discovery in ALS and FTD

Deep representation features from DreamDIAXMBD improve the analysis of  data-independent acquisition proteomics | Communications Biology
Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics | Communications Biology

Deep learning boosts sensitivity of mass spectrometry-based  immunopeptidomics | Nature Communications
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics | Nature Communications

Mass spectrometry-based proteomics | Nature
Mass spectrometry-based proteomics | Nature

A comprehensive spectral assay library to quantify the Escherichia coli  proteome by DIA/SWATH-MS | Scientific Data
A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS | Scientific Data

DIA-Umpire: comprehensive computational framework for data-independent  acquisition proteomics | Nature Methods
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics | Nature Methods

DIAproteomics: A Multifunctional Data Analysis Pipeline for  Data-Independent Acquisition Proteomics and Peptidomics | Journal of  Proteome Research
DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics | Journal of Proteome Research

Generating high quality libraries for DIA MS with empirically corrected  peptide predictions | Nature Communications
Generating high quality libraries for DIA MS with empirically corrected peptide predictions | Nature Communications

Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass  Spectrometry | Analytical Chemistry
Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass Spectrometry | Analytical Chemistry

MaxDIA enables library-based and library-free data-independent acquisition  proteomics | Nature Biotechnology
MaxDIA enables library-based and library-free data-independent acquisition proteomics | Nature Biotechnology

Home - plexDIA for increasing the throughput of sensitive proteomics
Home - plexDIA for increasing the throughput of sensitive proteomics

Strategies to enable large-scale proteomics for reproducible research |  Nature Communications
Strategies to enable large-scale proteomics for reproducible research | Nature Communications

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

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

Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry:  Trends in Plant Science
Quantifying Plant Dynamic Proteomes by SWATH-based Mass Spectrometry: Trends in Plant Science

Streamlined single-cell proteomics by an integrated microfluidic chip and  data-independent acquisition mass spectrometry | Nature Communications
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry | 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