CQS Summer Institute- Big Data in Biomedical Research

1 credits · Graduate School

This course will explore statistical, bioinformatic, and computational methods and tools for analyzing big omics data in biomedical research, including experimental design for omics research, RNA-sequencing, single-cell RNA-sequencing, and statistical and bioinformatic methods in high-dimensional data. Students will gain practical experience with RNA-seq and single-cell RNA-seq analysis, including read mapping, quantification, differential expression, cell clustering, and marker gene identification, as well as performing functional interpretation of results. [1]