Computational methods play a pivotal role in life science research. With advancing technology, we have amassed a wealth of biological data containing intricate information. However, traditional experiments struggle to unveil this complexity. Fortunately, computational methods introduce new possibilities. The application of intelligent algorithms enables the processing and analysis of high-throughput data, helping us uncover patterns and correlations within the data. Additionally, the use of visualization techniques makes life processes more intuitive, providing valuable insights for scientific research. Moreover, modeling and simulation can simulate biological systems at different scales, aiding in disease prediction, drug discovery, and mechanistic understanding. In summary, computation will deepen our comprehension of life and propel the advancement of life science research.