DIA-MS2pep
DIA-MS2pep performs library-free peptide identification directly from data-independent acquisition (DIA) MS/MS spectra to enable comprehensive detection of peptides and their modified forms.
Key Features:
- Library-free identification: Operates without spectral libraries to enable identification of peptides beyond those cataloged in existing databases.
- Data-driven MS/MS spectrum demultiplexing: Demultiplexes MS/MS spectra directly from fragment ions without requiring precursor information to handle highly multiplexed DIA spectra.
- Large precursor mass tolerance database search: Uses a broad precursor mass tolerance during database searches to identify peptides and modified peptide forms.
- DIA-derived spectral library construction: Builds spectral libraries directly from DIA data to support downstream quantitative analyses.
- Validated performance: Comparative studies show improved accuracy and sensitivity in peptide identification versus conventional library-free tools and improved quantitative accuracy and reproducibility relative to spectral libraries derived from data-dependent acquisition (DDA).
Scientific Applications:
- Cellular proteomics: Enables detailed proteomic analysis of cellular samples such as HeLa cell lysates.
- Phosphoproteomics: Facilitates identification of post-translational modifications including phosphorylation.
- Clinical and biological fluids analysis: Applicable to plasma samples for applications such as biomarker discovery and disease characterization.
- Quantitative proteomics: Supports generation of DIA-derived spectral libraries that improve quantitative accuracy and reproducibility.
Methodology:
DIA-MS2pep applies a data-driven algorithm to demultiplex MS/MS spectra from fragment ions without relying on precursor information and performs database searches using large precursor mass tolerances.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 1/29/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Junjie H, Jifeng W, Fuquan Y, Tao X. DIA-MS2pep: a library-free framework for comprehensive peptide identification from data-independent acquisition data. Biophysics Reports. 2022;8(5-6):253-268. doi:10.52601/bpr.2022.220011. PMID:37287874. PMCID:PMC10166510.