DNA Sequence Analyzer Using Web-Based Technologies

DNA sequence analysis is a fundamental process in bioinformatics used to understand genetic information. However, manual analysis of DNA sequences is complex and time- consuming due to the large volume of data. This paper presents a web-based DNA Sequence Analyzer developed using HTML, CSS, and JavaScript to simplify and automate the analysis process. The system allows users to input DNA sequences and performs essential computations such as GC content calculation, reverse complement generation, and nucleotide frequency analysis. The application uses client-side scripting to provide real-time results without requiring backend processing or database integration. The proposed solution is lightweight, efficient, and user-friendly, making it suitable for educational and introductory research purposes. The results demonstrate accurate and fast computation, highlighting the effectiveness of integrating web technologies with biological data analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20455707
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
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article

DNA Sequence Analyzer Using Web-Based Technologies

Arijeet Yadav, Gajanan M. Naik, Ananth Deshmukh
Zenodo (CERN European Organization for Nuclear Research)
Genetics, Bioinformatics, and Biomedical Research
article

DNA Sequence Analyzer Using Web-Based Technologies

Arijeet Yadav, Gajanan M. Naik, Ananth Deshmukh
article en

Abstract

DNA sequence analysis is a fundamental process in bioinformatics used to understand genetic information. However, manual analysis of DNA sequences is complex and time- consuming due to the large volume of data. This paper presents a web-based DNA Sequence Analyzer developed using HTML, CSS, and JavaScript to simplify and automate the analysis process. The system allows users to input DNA sequences and performs essential computations such as GC content calculation, reverse complement generation, and nucleotide frequency analysis. The application uses client-side scripting to provide real-time results without requiring backend processing or database integration. The proposed solution is lightweight, efficient, and user-friendly, making it suitable for educational and introductory research purposes. The results demonstrate accurate and fast computation, highlighting the effectiveness of integrating web technologies with biological data analysis.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 9%
Genetics, Bioinformatics, and Biomedical Research
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DNA Sequence Analyzer Using Web-Based Technologies — Arijeet Yadav, Gajanan M. Naik, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS