Disease Diagnosis Using Pattern Matching in DNA Sequences

Sriram Anusha and Raju Bhukya
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Sriram Anusha: NIT Warangal Telangana, India
Raju Bhukya: NIT Warangal Telangana, India

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 11, 100-107

Abstract: The introduction of parallel algorithms, specifically OPSI (Overlapping Pair-Set Indexing) and the Finite State Automaton (FSA), addresses the imperative need for accelerated DNA sequence pattern matching in the dynamic landscape of biological databases. As these databases undergo frequent updates, the demand for faster, error-reduced algorithms in real-world applications intensifies. Experimental results showcase the parallel approach’s superior optimization and time efficiency, demonstrating its prowess over serial versions. Rigorous testing on the NCBI ‘Homo Sapiens’ dataset thoroughly evaluates all four algorithms—OPSI, FSA, and their serial counterparts—for disease diagnosis, meticulously recording and comparing their respective outputs and time efficiencies.

Date: 2024
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