RegStatGel
RegStatGel performs differential analysis of two-dimensional gel electrophoresis (2D-GE) images to identify proteins with differential expression across experimental conditions.
Key Features:
- Differential 2D-GE analysis: Performs comparative analysis of two-dimensional gel electrophoresis (2D-GE) images to detect proteins with altered expression.
- Automated and interactive procedures: Provides both fully automated and interactive procedures for image analysis and spot comparison.
- Detection of differentially expressed proteins: Facilitates identification of proteins that exhibit differential expression under varying experimental conditions.
- Robust variability handling: Manages and interprets extensive variations observed in gel images.
- Large dataset support: Handles large proteomic datasets typical of 2D-GE studies.
- Matlab implementation: Implemented using Matlab 7.01 for computational processing.
Scientific Applications:
- Differential proteomics: Identification of protein expression changes across experimental conditions in proteomic studies.
- 2D-GE image analysis: Analysis and interpretation of two-dimensional gel electrophoresis images within proteomic research workflows.
Methodology:
Implemented in Matlab 7.01 and provides both fully automated and interactive procedures for processing and analyzing 2D-GE images.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Windows
- Programming Languages:
- MATLAB
- Added:
- 12/18/2017
- Last Updated:
- 12/30/2018
Operations
Publications
Li F, Seillier-Moiseiwitsch F. RegStatGel: Proteomic software for identifying differentially expressed proteins based on 2D gel images. Bioinformation. 2011;6(10):389-390. doi:10.6026/97320630006389. PMID:21904427. PMCID:PMC3163918.