Big Data and Cloud Computing in Bioinformatics Research

Abstract

The integration of big data and cloud computing has revolutionized bioinformatics research, enabling the analysis and interpretation of large-scale biological data. Bioinformatics generates vast amounts of data from sequencing technologies, imaging, and experimental assays, which require advanced computational methods and infrastructure to process. Cloud computing provides scalable resources and computing power to support bioinformatics workflows, offering flexibility in data storage, processing, and analysis. This article explores the role of big data and cloud computing in bioinformatics research, with a focus on their applications in genomics, proteomics, systems biology, and precision medicine. We discuss the advantages, challenges, and future directions of big data and cloud computing in bioinformatics.