Abstract: With the rapid advancement of bioinformatics technology, the storage, management, and analysis of large-scale genomic data have become core challenges in this field. Database operations, as a key technical approach in bioinformatics analysis, play an irreplaceable role in genomic data mining and functional annotation. Mastering genomic database operation techniques enhances the efficiency of bioinformatics analysis; it also provides essential technical support for deeper insights into genome structure and function. This study focuses on the hg38 human genome reference sequence in the UCSC Genome Browser. It designs a teaching experiment on commonly used genomic database operations and their applications in bioinformatics analysis. Based on the genome browser interface, we implemented basic gene information retrieval and functional annotation. Through variant database queries, we obtained variant information of target genes included in UniProt. Utilizing sequence extraction tools, we retrieved sequences from specific genomic regions. Additionally, by leveraging the MySQL database interface, we performed large-scale genomic data queries and batch processing. The research results show that Chromosome 19 has the highest transcript structure density, much higher than that of other chromosomes. This study provides an operable case reference for bioinformatics laboratory teaching and holds significant practical value in fostering students’ hands-on skills.