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 and Medical Informatics
University of Wisconsin–Madison

Lecture SLides

Lecture Slides with notes

github repository