Sincethe advent of the human genome in 2001, related omics technologies havedeveloped rapidly. Facing the huge data obtained by sequencing, how toeffectively analyze them are a problem that many researchers often encounter indaily research.Biomedical Omics Data Analysis focuseson the applications of omics technologies in biomedical research. This coursealso emphasizes hands-on experience with the aim to teach students thebasic omics data analysis workflow. After completing this course, students areexpected to masterthe basic Unix environment and R language programming skills, and can use Shelland Bioconductor to process common omics data encountered in their thesisresearch (whole genome/exome sequencing, RNA-Seq, Single-cell RNA-Seq,ChIP-Seq, ATAC-Seq, long-read sequencing etc.); or can better understand theiranalysis needs, so that they can communicate with bioinformaticians moreefficiently. In addition, this course also aims to teach students the generalprinciples behind common data analysis methods without getting into too many algorithmicdetails, so that students can understand the reasoning and logics behind eachanalysis step. Finally, this course also hopes to teach students how to betterdesign omics experiments to make subsequent analysis easier and makeconclusions more reliable.