Friday, June 11th at 10am PDT/ 11am MDT/ 12pm CDT/ 1pm EDT
1-hour presentation followed by 30 minutes of discussion

Goals of this webinar:

Sample mix-ups interfere with our ability to detect genotype-phenotype associations. However, the presence of numerous eQTL with strong effects provides the opportunity to not just identify sample mix-ups, but also to correct them.

• To illustrate methods for identifying sample duplicates and errors in sex annotations.
• To illustrate methods for identifying sample mix-ups in DNA and RNA samples from experimental cross data.

Presented by:
Karl Broman, PhD
Professor
Department of Biostatistics & Medical Informatics
University of Wisconsin-Madison

Webinar flyer (pdf)

Link to course material:kbroman.org/Talk_OSGA2021