The Role and Progress of Bioinformatics in Genomics Research

With the rapid development of high-throughput sequencing technology, genomics research has entered the era of big data. Bioinformatics, as a bridge connecting biology, computer science, and statistics, plays an increasingly prominent role in genomics research. This article reviews the key role of bioinformatics in genome data processing, gene annotation and functional prediction, comparative genomics and evolutionary research, and explores the latest advances in high-throughput sequencing technology, genome assembly and annotation technology. Bioinformatics has significantly improved the speed and accuracy of genomics research through efficient data processing and analysis tools, revealing the complex structure and function of the genome and providing new perspectives and methods for disease diagnosis, treatment, and prevention. This article also points out the shortcomings of bioinformatics in facing challenges such as data processing and storage, privacy and ethical issues, and proposes future development directions and trends. With the integration of advanced technologies such as artificial intelligence and machine learning, bioinformatics will play a greater role in areas such as multi omics data integration and analysis, precision medicine, and personalized treatment. Meanwhile, strengthening international cooperation and promoting data sharing and collaboration will be important directions for the future development of bioinformatics. Through continuous innovation and optimization, bioinformatics will provide more solid technical support for genomics research and promote the in-depth development of life science research.