GELBOX: OPEN-SOURCE SOFTWARE TO IMPROVE RIGOR AND REPRODUCIBILITY WHEN ANALYZING GELS AND IMMUNOBLOTS
Utku Gulbulak1, Austin G Wellette-Hunsucker1,2, Kenneth S Campbell1,2
1Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, USA.
Biorxiv : the Preprint Server for Biology
|March 18, 2024
Summary
GelBox is new open-source software designed to improve the rigor and reproducibility of gel and immunoblot analyses. This tool enhances data transparency by integrating image adjustments, metadata, and analysis into a single file.
Area of Science:
- Biochemistry and Molecular Biology
- Bioinformatics and Computational Biology
Background:
- Analyzing gels and immunoblots is crucial for scientific research but often lacks standardization, impacting reproducibility.
- Current methods for gel and immunoblot analysis can be complex and may not adequately support data transparency and traceability.
Approach:
- GelBox is an open-source software application developed using MATLAB.
- It integrates essential image processing tools, including cropping, rotation, brightness, and contrast adjustments.
- The software features background correction and band-fitting algorithms for quantitative analysis.
Key Points:
- GelBox allows users to associate metadata, such as sample type, with individual lanes within an image.
- Data files consolidate raw data, metadata, image adjustments, and band-level analyses for enhanced traceability.
- The software provides a user-friendly interface, simplifying complex analytical workflows.
Conclusions:
- GelBox enhances the rigor, reproducibility, and transparency of gel and immunoblot data analysis.
- The integrated approach of GelBox improves data management and traceability in biological research.
- The open-source availability and comprehensive tutorials facilitate widespread adoption and use.
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