We teach a course called “Computational Genetics” each year at UCLA. This course is taken by both graduate and undergraduate students from both the Computer Science department and the many biology and medical school programs. In this course we cover both topics related to genome wide association studies (GWAS) and topics related to next generation sequencing studies. One lecture that is given each year is an introductory lecture to sequencing and read mapping. The video of this lecture is available here. Please excuse the poor cinematography. This lecture was recorded from the back of the classroom.
I recently gave a talk on mixed models and confounding factors which is a long time interest of our research group at a workshop which is part of the Evolutionary Biology and the Theory of Computing program which was held at the Simons Institute on the UC Berkeley Campus. The talk was held on February 21st. This talk spans many years of work in our group including work by Hyun Min Kang (now at Michigan), Noah Zaitlen (now at UCSF), and Jimmie Ye (now at Harvard) as well as a sneak peak at very recent work by Joanne Joo, Jae-Hoon Sul and Buhm Han.
The papers which are covered in the talk include the EMMA, EMMAX and ICE papers published in 2008 as well as a very new paper that should be coming out soon. The key papers from the talk are:
In: Nat Genet, 42 (4), pp. 348-54, 2010, ISSN: 1546-1718.
In: Genetics, 178 (3), pp. 1709-23, 2008, ISSN: 0016-6731.
In: Genetics, 180 (4), pp. 1909-25, 2008, ISSN: 0016-6731.
A relatively recent excellent documentary developed by NOVA gives a really nice summary of the research area that we work in and the transformation of medicine due to the development of genome sequencing. It is a great place to start learning about our field.
Cracking Your Genetic Code
We are on the brink of a new era of personalized, gene-based medicine. Are we ready for it? Aired March 28, 2012 on PBS