Melanie

Melanie analyzes and visualizes two-dimensional gel electrophoresis (2-DE) data to support proteome research.

Key Features:

• 2-DE and DIGE data support: Handles conventional two-dimensional gel electrophoresis (2-DE) and Fluorescence Difference Gel Electrophoresis (DIGE) data.
• Image processing algorithms: Implements image processing algorithms for spot detection and quantitation on 2-DE gels.
• Image comparison: Provides facilities for comparing gel images to identify differences and similarities between electrophoresis results.
• Statistical data analysis: Performs statistical analyses for quantitative assessment of proteomic measurements.
• Integration with online proteome databases: Enables linking of gel-derived protein information to proteome databases available on the World Wide Web.
• Visualization and exploration: Supports visualization and exploratory analysis of 2-DE gel data.

Scientific Applications:

• Proteomics analysis: Supports analysis of protein expression patterns using 2-DE and DIGE for proteome studies.
• Comparative proteomics: Enables comparison of gel images to detect differential protein expression across samples or conditions.
• Protein information extraction: Facilitates extraction of protein information from gel data and linkage to external proteome databases.

Methodology:

Uses image processing algorithms for spot detection and quantitation, image comparison algorithms for gel-to-gel analysis, and statistical data analysis for quantitative assessment.