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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação
Print version ISSN 1646-9895
Abstract
TERRON-MACIAS, Victor and MEJIA, Jezreel. Proposal for the unification of bioinformatics tools for the analysis of proteomic and genomic sequences of algae and fungi. RISTI [online]. 2024, n.53, pp.122-137. Epub Apr 30, 2024. ISSN 1646-9895. https://doi.org/10.17013/risti.53.122-137.
Biological sequence analysis is essential in bioinformatics, but the diversity of available tools presents significant challenges. This article proposes a web application that unifies useful functionalities in biological sequence analysis. Developed in Python and Django, it integrates features from BioPython, BioPandas, 3Dmol.js, and BLAST, among others, making it usable for users without programming knowledge. The tool covers the analysis of DNA and protein sequences, transcription, alignment, sequence search, and more. Its most notable features are efficiency, precision in obtaining quantitative data from the running process, and ease of use, supported by validation and results from the components used. Its modular architecture ensures scalability and adaptability. It is concluded that the tool represents a significant advance in simplifying and improving the processes of biological sequence analysis, promising to enhance efficiency and effectiveness in bioinformatics.
Keywords : bioinformatics; biotechnology; biological sequence analysis; no code.