ISSN : 2488-8648
International Journal of Basic Science and Technology
A publication of the Faculty of Science, Federal University Otuoke, Bayelsa State
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ISSN : 2488-8648
Home About IJBST For Authors Issues Useful Downloads Contact
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×published date:2023-Oct-04
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Abstract
Manual analysis of gel electrophoresis images is a significant research barrier and due to significant constraints, digital technologies have been applied to accelerate the processing and interpretation of gel images. This study aimed to evaluate DNA polymorphism in selected animal and environmental microbes using a manual and computational program for the gel image analysis. To ascertain and compare the accuracy of the analysis performed manually and computationally, Random amplified polymorphic DNA-PCR (RAPD-PCR) was performed, and gel electrophoresis was run on PCR products obtained from Staphylococcus spp cultured from livestock nasal swabs and Bacillus spp cultured from soil and wastewater samples from different abattoirs in Ogun State, Nigeria. Gel image analysis was done manually and computationally with two software programs, PyElph and GelAnalyzer. Results obtained from both analyses were compared, and some discrepancies were observed as the computerized analysis was not in total concordance with the manual visual analysis. The software programs were compared using several parameters: image quality enhancement, visual band, lane detection and definition, data clustering, and dendrogram analysis. PyElph had approximately 60% accuracy in all the features tested, although when compared to manual gel visualization for bands and lanes calculation; there was an inaccuracy with PyElph while GelAnalyzer had a lower percentage of accuracy and lesser functionalities. This research has comprehensively analyzed the most commonly used noncommercial software programs available to researchers and students. This will help identify the features that need to be modified to develop a more effective system for the computational analysis of gel images
Keywords: RAPD, Image Analysis, Nigeria, Manual, Polymorphism
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