Optimization in Sanger Sequencing
January 22, 2024 Β· Declared Dead Β· π Computers & Operations Research
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Authors
Luisa Carpente, Ana Cerdeira-Pena, Silvia Lorenzo-Freire, Γngeles S. Places
arXiv ID
2401.11854
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.OC
Citations
5
Venue
Computers & Operations Research
Last Checked
4 months ago
Abstract
The main objective of this paper is to solve the optimization problem that is associated with the classification of DNA samples in PCR plates for Sanger sequencing. To achieve this goal, we design an integer linear programming model. Given that the real instances involve the classification of thousands of samples and the linear model can only be solved for small instances, the paper includes a heuristic to cope with bigger problems. The heuristic algorithm is based on the simulated annealing technique. This algorithm obtains satisfactory solutions to the problem in a short amount of time. It has been tested with real data and yields improved results compared to some commercial software typically used in (clinical) laboratories. Moreover, the algorithm has already been implemented in the laboratory and is being successfully used.
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