Different Algorithms for Alignment Free DNA Sequence Comparison in Current Scenario


Date Published : 13 December 2025

Contributors

Dr. Kshatrapal Singh

Lincoln University College
Author

Dr. Raja Sarath Kumar Boddu

Lincoln University College
Author

Keywords

Biological sequences Information Theory Euclidean Distance Phylogeny Data mining

Proceeding

Track

Engineering, Sciences, Mathematics & Computations

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Copyright (c) 2025 Sustainable Global Societies Initiative

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

The method of determining the precise arrangement of the four chemical bases (A, T, C, and G) in a DNA molecule—which contains the genetic instructions for every living thing—allows scientists to interpret the code of life, comprehend gene function, identify illnesses, and monitor evolution. Alignment free sequence studies used to solve challenges varying from complete-genome phylogenetics to protein family categorization, horizontally transmitted gene identification, and rejoined sequence discovery. These approaches are very effective for processing and analyzing data from next-generation sequencing because of their strength. Many researchers, however, are unsure of how these approaches function, how they collate to alignment-based approaches, and how they may be used in their research. We answer these issues and present an overview of the alignment-free sequence analysis algorithms that are currently available. Next-Generation Sequencing (NGS) is a novel method that much outperforms Sanger sequencing by enabling fast, high-speed reading of large volumes of DNA.

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How to Cite

Dr. Kshatrapal Singh, D. K. S., & Dr. Raja Sarath Kumar Boddu, D. R. S. K. B. (2025). Different Algorithms for Alignment Free DNA Sequence Comparison in Current Scenario. Sustainable Global Societies Initiative, 1(2). https://vectmag.com/sgsi/paper/view/8