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@article{207459,
        author = {Ayesha Fatima},
        title = {Bioinformatics and data management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {1669-1670},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207459},
        abstract = {Bioinformatics Data Management and Future Trends Bioinformatics is an emerging and transformative field at the intersection of biology, computer science, and information technology. The exponential growth of biological data necessitates efficient data management strategies to ensure accuracy, accessibility, and reproducibility. This paper aims to highlight the relevance of bioinformatics in contemporary science, particularly focusing on the importance of effective data management systems, challenges in dealing with large biological datasets, and potential future trends in this field. Writing.
This study explores the application of machine learning, deep learning, natural language processing (NLP), and knowledge-based AI methods to structure biological data, predict functional annotations, and enhance the scalability and accessibility of biological information retrieval systems, thus minimizing reliance on manual processing.
Moreover, the issues of data quality, computational complexity, interpretability and privacy Moreover, the paper addresses the problems of data quality, computational complexity, interpretability, and privacy. This study introduces an artificial intelligence-based large-scale bioinformatics research architecture using intelligent data management, automatic annotation, and semantic retrieval techniques. These techniques are highly promising for fast-tracking biological discovery, precision medicine, and biomedical data processing.},
        keywords = {Artificial intelligence, bioinformatics, machine learning, deep learning, biological databases, data organization, genome annotation, information retrieval, natural language processing, and biomedical data management.},
        month = {August},
        }