Home

This is your home page.

DNA strand

Introduction to Computational Genomics

About the Course

This week-long virtual course for Mayo Clinic and Illinois affiliated scientists and clinicians covers the basics of computational genomics, while integrating the latest technologies and computational methodologies. University of Illinois faculty and Mayo Clinic scientists teach lectures and lead hands-on lab exercises in a variety of subject areas including genome sequencing and assembly, polymorphism and variant analysis, clinical variant interpretation, and regulatory genomics. New this year are modules on single cell and spatial transcriptomics and AI.

See the 2024 Schedule

2019 Illinois Participants at the Institute for Genomic Biology

Registration will open Spring 2025

Topics include Genome Assembly, RNA-Seq Analysis, Regulatory Genomics, Polymorphisms & Association Tests, Single Cell and Spatial Transcriptomics, and more. Variant Calling and Systems Biology content will be available on demand. Mayo Clinic instructors will focus on translational genomics topics related to Clinical Variant Interpretation, RNAseq in Hereditary Disease Diagnosis and single Cell and Spatial Transcriptomics. Both synchronous and self-paced lab exercises will be offered this year.

Testimonial #1

"I was very happy with the course. I learned many different methodologies and tools, and was also exposed to relevant cutting-edge research!"

Testimonial #2

"The course was one of the most valuable educational experiences for me."

Mayo Clinic & Illinois Alliance

The University of Illinois at Urbana-Champaign and Mayo Clinic’s strategic alliance encourages a broad spectrum of collaborative research, the development of new technologies and clinical tools, and the design and implementation of novel education programs. There are a myriad of interactive research opportunities within the Mayo Clinic & Illinois Alliance. Mayo brings an exceptional portfolio of clinical and translational research and healthcare delivery. Illinois has strengths in engineering, technology, and life sciences–especially in high-performance computing, software, imaging, nanotechnology, genomics, and tissue engineering.