International Journal of Science, Engineering and TechnologyAuthors: Azeem Bharmal
Abstract: Cloud computing is revolutionizing bioinformatics, offering innovative solutions to address scalability, data management, and computational constraints in genomics, proteomics, and systems biology. As biological data continues to grow exponentially due to advances in next-generation sequencing, metagenomics, and other high-throughput technologies, conventional approaches to data storage and analysis become increasingly inadequate. Cloud computing environments provide dynamic scalability, enabling researchers to access vast computational resources on-demand, manage large datasets efficiently, and foster collaborative research across geographical boundaries. By leveraging virtualization, distributed computing, and pay-as-you-go models, researchers overcome the limitations posed by local hardware infrastructure. Additionally, cloud platforms offer integrated services, workflow automation, and interoperability, allowing deployment of bioinformatics pipelines with minimal maintenance requirements. Security, data privacy, and cost considerations remain central, but the benefits of flexibility and rapid prototyping make cloud computing a transformative force in the life sciences. This paradigm not only accelerates data analysis but democratizes access to advanced computational tools, fostering innovation in drug discovery, personalized medicine, and microbial analysis. In this review, we explore the fundamental role of cloud computing in enhancing bioinformatics scalability, discussing its architecture, benefits, challenges, and future implications for research and development.
DOI: http://doi.org/10.5281/zenodo.16982675
