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Implementation of Multi-Criteria Decision-Making for Selecting Most Effective Genome Sequencing Technology
Ayse Arikan1,2,3, Berna Uzun4,5, Murat Sayan1,6
1DESAM Research Institute, Near East University, TRNC, Mersin 10, 99138 Nicosia, Turkey.
Diagnostics (Basel, Switzerland)
|March 28, 2025
Summary
Choosing the best genome sequencing technology for molecular diagnostics is crucial. The PROMETHEE method identified Avidite Base Chemistry, Nanopore, and Illumina as top choices, aiding in selecting optimal detection platforms.
Area of Science:
- Genomics
- Molecular Diagnostics
- Bioinformatics
Background:
- Molecular diagnostics are vital for identifying unknown pathogen genes.
- Selecting appropriate genome detection technologies is challenging due to numerous criteria.
Purpose of the Study:
- To evaluate and rank various genome sequencing technologies.
- To determine the most suitable platform for molecular diagnosis using a multi-criteria decision-making approach.
Main Methods:
- Utilized the fuzzy-based preference ranking organization method for enrichment evaluation (PROMETHEE) technique.
- Assessed multiple criteria including portability, read length, accuracy, cost, and throughput capability.
- Applied multi-criteria decision-making (MCDM) to compare sequencing platforms.
Main Results:
- Avidite Base Chemistry (ABC) was ranked as the most favorable sequencing platform.
- Nanopore and Illumina were identified as the second and third most suitable options, respectively.
- Net flow values indicated distinct preferences among the evaluated technologies.
Conclusions:
- The PROMETHEE technique effectively aids in selecting optimal genome detection technologies.
- Findings provide valuable data for researchers and clinicians in choosing sequencing platforms.
- Acknowledged the subjective nature of the PROMETHEE method, suggesting potential variations in results under different conditions.
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