An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases

In order to seamlessly identify the links between various DNA sequences on a broad scale, DNA sequencing is a crucial tool. But there is still more potential for advancement in sequencing quality. A highly well-liked method for determining sequence similarities is the alignment-free technique. As per their chemical characteristics, the four bases of DNA sequences A, C, G, and T are separated in three types of groupings in this research. A primary DNA sequence is transformed into three symbolic sequences. In order to depict the sequence, the frequencies of group variations of three notational sequences have been aggregated in a 12-component vector. The nucleotide sequences of beta globin gene on a dataset of several species are characterised and compared using the Euclidean distances across inserted vectors. Using phylogenetic trees, the evolutionary relationships between various organisms are visually represented. A phylogenetic tree's branch structure shows how several species or other groups diverged from several common ancestors. Our findings are in agreement with recent biological assessments. Additionally, we compared our approach to a few currently used sequence comparing techniques and discover that it is more efficient and user-friendly. We also analysed the time and space complexities of our proposed approach.

Authors

Institutions

Publication Details

Journal
International Journal of Data Mining and Bioinformatics
Published
2024-12-03
DOI
https://doi.org/10.1504/ijdmb.2025.143005
Primary Topic
Fractal and DNA sequence analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases

Vijay K. Shukla, Laxman Singh, Kshatrapal Singh, Yogesh Kumar Sharma et al.
International Journal of Data Mining and Bioinformatics
Fractal and DNA sequence analysis
article

An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases

Vijay K. Shukla, Laxman Singh, Kshatrapal Singh, Yogesh Kumar Sharma, Arun Kumar
article en

Abstract

In order to seamlessly identify the links between various DNA sequences on a broad scale, DNA sequencing is a crucial tool. But there is still more potential for advancement in sequencing quality. A highly well-liked method for determining sequence similarities is the alignment-free technique. As per their chemical characteristics, the four bases of DNA sequences A, C, G, and T are separated in three types of groupings in this research. A primary DNA sequence is transformed into three symbolic sequences. In order to depict the sequence, the frequencies of group variations of three notational sequences have been aggregated in a 12-component vector. The nucleotide sequences of beta globin gene on a dataset of several species are characterised and compared using the Euclidean distances across inserted vectors. Using phylogenetic trees, the evolutionary relationships between various organisms are visually represented. A phylogenetic tree's branch structure shows how several species or other groups diverged from several common ancestors. Our findings are in agreement with recent biological assessments. Additionally, we compared our approach to a few currently used sequence comparing techniques and discover that it is more efficient and user-friendly. We also analysed the time and space complexities of our proposed approach.

International Journal of Data Mining and BioinformaticsVol. 29(1/2)
Institute of Management Technology (IN), JRE Group of Institutions (IN), Voluntary Health Association Of India (IN), Graphic Era University (IN)
Zero hunger
Openalex Percentile: Top 80%
Fractal and DNA sequence analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.