Performance Analysis Of Needleman-Wunsch Algorithm (Global) And Smith-Waterman Algorithm (Local) In Reducing Search Space And Time For Dna Sequence Alignment

Author:

Muhamad FN,Ahmad RB,Asi SM,Murad MN

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Algorithm for Local Alignment of DNA and Protein Sequences;Lecture Notes in Computer Science;2024

2. Optimal global sequence alignments of COVID-19 nucleotide sequences using the Needleman-Wunsch algorithm and program parallelization;APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applications of Mathematics in Engineering and Economics”;2023

3. Sequence Similarity Network Analysis Provides Insight into the Temporal and Geographical Distribution of Mutations in SARS-CoV-2 Spike Protein;Viruses;2022-07-29

4. Mismatch-Resistant Intrusion Detection with Bioinspired Suffix Tree Algorithm;Algorithms and Solutions Based on Computer Technology;2022

5. Identification of gene variant associated with Parkinson’s disease using genomic databases;Journal of Ambient Intelligence and Humanized Computing;2021-03-15

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