Bioinformatics is an interdisciplinary subject that studies biological problems. It combines computer science, statistics and mathematics, and aims to analyze biological data, study the structure and function of biological systems, predict biological processes and discover new biological knowledge by using computer technology and algorithms. Bioinformatics has a wide range of applications, such as genomics, protein genomics, transcriptomics, metabonomics, systems biology and so on.

The development of bioinformatics also provides new methods and tools for biomedical research, such as the application in gene diagnosis, drug design and disease prediction. Simply put, it is an interdisciplinary subject of computer and biology. You should know both biology and computers. My understanding is that when computer technology is applied to the scene in the biological field, it is necessary to build a mathematical model according to biology to get a biological model, and then apply computer technology to program according to this model to solve biological problems.

Main courses and employment direction of bioinformatics

1, main course

Medical chemistry, biochemistry, molecular biology, cell biology, medical microbiology, medical immunology, medical genetics, physiology, pharmacology, advanced mathematics, linear algebra, probability theory and mathematical statistics, college physics, C language programming, data structure, bioinformatics, R language, Python/PERL programming language, bioinformatics statistical methods, system biology, database design, genomics, protein group.

2. Employment direction

Engaged in bioinformatics big data analysis and management in scientific research institutions, universities, hospitals, pharmaceutical companies, environmental protection and other related departments and industries, as well as bioinformatics related teaching, research, management, public health, disease prevention, drug design, biological software development, environmental microbial monitoring and other work.