IDIA
IDIA extracts high-quality pseudo-spectra from data-independent acquisition (DIA) mass spectrometry data to enable library-free peptide and protein identification.
Key Features:
- Library-Free Approach: Generates pseudo-spectra directly from DIA data, removing the requirement for pre-existing spectral libraries.
- Pseudo-Spectrum Generation: Employs isotopic trace detection strategies to assemble pseudo-spectra compatible with conventional sequence database searching software.
- Signal Extraction Techniques: Applies B-spline and Gaussian filters for signal refinement during extraction from complex DIA datasets.
- Comparative Performance: Validated on human and yeast datasets and reported to identify more peptides and proteins than DIA-Umpire and Group-DIA.
Scientific Applications:
- Library-free proteomics: Enables peptide and protein identification in studies lacking pre-existing spectral libraries.
- Novel-organism and microbial-community proteomics: Facilitates analysis of novel organisms and complex microbial communities by generating searchable pseudo-spectra from raw DIA data.
- Alternative to DDA: Provides more comprehensive and reproducible results compared to data-dependent acquisition (DDA) in comparative evaluations.
Methodology:
IDIA integrates isotopic trace detection with signal processing using B-spline and Gaussian filters to extract pseudo-spectra from DIA data, which are then searched with standard sequence database search software.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Java
- Added:
- 9/25/2023
- Last Updated:
- 9/25/2023
Operations
Publications
Li J, Pan C, Guo X. IDIA: An Integrative Signal Extractor for Data-Independent Acquisition Proteomics. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2022. doi:10.1109/bibm55620.2022.9994873. PMID:37034305. PMCID:PMC10077956.