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@article{173137,
        author = {Dr. Vinit Vaidya},
        title = {Deciphering Genetic Complexity via Computational Biology: Developing Mathematical Models for Biological Understanding},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1926-1928},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173137},
        abstract = {Genetics has undergone a revolution thanks to the development of high-throughput technologies, which have produced enormous volumes of data that are essential to comprehending the complex workings of life. However, complicated computational methods that can combine, analyse, and interpret such data are needed to unravel this complexity. A vital field that uses statistical techniques, mathematical models, and algorithms to solve the puzzles of genetic systems is computational biology. This study examines the various ways computational biology is used in genetic research, with an emphasis on the development and use of mathematical models to obtain biological understanding.},
        keywords = {Genetical Complexity, Computational Biology, Mathematical Model},
        month = {February},
        }