Abstract: Taking methodology as the entry point and combining with the rapid development of modern life science and scientific research practice, several important bioinformatics strategies or approaches were summarized and refined, which included the ideas of experimental- control comparison, distance and similarity, feature selection and feature extraction, clustering analysis, classification and prediction, data integration and re-analysis, databases and web-based tools, and so on. These bioinformatics strategies are designed to help students learn and understand computational thinking and methods that are different from traditional experimental biology in a short period of time, and to deepen their understanding of interdisciplinary research approaches in biology. In a word, the introduction of bioinformatics research strategies or approaches in biology-related courses can strengthen the mathematical thinking and the ability to apply cross-disciplinary biology-related knowledge of students, improving the quality of undergraduate training.

Key words: bioinformatics strategy, methodology, interdisciplinary, gene expression profile, data integration