A weeklong look at genomic data analysis
Join us July 20–24 from 9 am to noon each day for this short intensive course, taught by Dr. Qi Liu, professor of biostatistics and biomedical informatics, technical director of VANGARD (Vanderbilt Technologies for Advanced Genomics Analysis and Research Design), associate director of bioinformatics at the Center for Quantitative Sciences (CQS), and director of the CQS Omics Coordinating Center.
The course will be held in person at 2525 West End Avenue in Nashville, Tennessee.
Tuition for this course (in USD)
Regular: $950
Vanderbilt University / Vanderbilt Health faculty and staff: $700
Vanderbilt University / Vanderbilt Health students, trainees, and postdocs: $450
A 20% early bird discount will apply to regular and employee registrations submitted between May 1 and May 31.
About this course
This course introduces the statistical and bioinformatic approaches used to analyze large-scale omics data in modern biomedical research. Students will explore key technologies and analytical frameworks for DNA sequencing, RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics. Core topics include sequencing technologies, data preprocessing, quality control, read alignment, transcript quantification, dimensionality reduction, differential expression analysis, and functional enrichment.
Through a combination of lectures and hands-on practical sessions, students will learn how to transform raw sequencing data into biologically meaningful insights. Using real datasets, students will gain practical experience with commonly used genomics analysis workflows, with a particular focus on RNA-seq and single-cell RNA-seq. By the end of the course, students will understand the principles behind modern genomics pipelines and will be able to conduct basic analyses of high-throughput sequencing data.
Prerequisites
Course participants should have basic or entry-level knowledge of R programming, Linux/Unix commands, and biostatistics
Preparing for this course
These two free software programs will be used throughout the course. Please download them before July 19:
Also, please bookmark the WebGestalt online tool.
If you have limited experience with using R and Linux, please review these materials prior to the start of the course:
Participants who would like a primer on biomedical terminology are encouraged to consult the Chandran Lab's Beginner’s Guide to RNA-seq or similar resources.
Details subject to change without notice.