随着高通量测序技术的发展，基于全基因组测序的突变定位方法(mapping-by-sequencing)已成为现代遗传学研究的重要手段。然而，在本科生命科学课程中，学生较少有机会接触真实的测序数据分析流程，特别是在传统遗传学教学中，与测序数据分析相关的系统化教学资源仍较为缺乏。本文基于Galaxy平台和MiModD工具，对突变定位分析流程进行了教学化整理，构建了可应用于功能基因组学与生物信息学课程并可融入遗传学教学的案例。以秀丽线虫(Caenorhabditis elegans)突变体ot266的全基因组测序数据为案例，引导学生完成从测序数据质量控制、序列比对、变异检测到等位基因频率定位及候选突变筛选的完整分析流程。该教学设计为本科生物信息学或功能基因组学教学提供了一种可行的教学案例，并可作为遗传学教学内容的有益补充。

With advances in high-throughput sequencing technologies, whole-genome sequencing-based mutation mapping (mapping-by-sequencing) has become an important approach in modern genetic studies. However, in undergraduate life science courses, students have relatively few opportunities to engage with authentic sequencing data analysis workflows, and systematic teaching resources related to sequencing data analysis remain limited, particularly in conventional genetics teaching. Based on the Galaxy platform and the MiModD tool, this study reorganized the mutation mapping analysis workflow for instructional purposes and developed a case that can be applied in functional genomics and bioinformatics courses and integrated into genetics teaching. Using the published whole-genome sequencing data from the Caenorhabditis elegans mutant ot266 as a case, students are guided through the complete analytical workflow, including sequencing data quality control, read alignment, variant calling, allele frequency-based mapping, and candidate mutation identification. This teaching design provides a feasible teaching case for undergraduate bioinformatics or functional genomics education and can serve as a useful supplement to genetics teaching.