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Introduction to Computational Genomics

June 21-25, 2021

About the Course

This week-long virtual course for Mayo Clinic and Illinois affiliated scientists and clinicians covered the basics of computational genomics, while integrating the latest technologies and computational methodologies. University of Illinois faculty and Mayo Clinic scientists taught lectures and led hands-on lab exercises in a variety of subject areas including genome sequencing and assembly, polymorphism and variant analysis, epigenomics, and systems biology.

See the 2021 Schedule

2019 Illinois Participants at the Institute for Genomic Biology

Registration is now closed

Topics included Genome Assembly, Variant Calling, RNA-Seq & Transcriptome Analysis, Systems Biology, Regulatory Genomics, Polymorphisms & Association Tests, Statistics, Cancer Informatics, and more. This was another exciting line-up of speakers and topics including new translational focused lectures and labs from Mayo Clinic on Clinical Variant Interpretation and RNAseq in Hereditary Disease Diagnosis, and new lectures on Methylation for Clinical Diagnosis and Polygenetic Risk Scores. Labs were a hybrid of synchronous and self-paced exercises 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.