Modern Programming in Genome to Phenome

It was a short course host by Department of Animal Science at University of California, Davis. The instructors include Drs. Hao Cheng (University of California Davis), Rohan Fernando (Iowa State University), James Chen (Virginia Tech), and Daniel Runcie (University of California, Davis). Several scholarships are available to cover registration and travel expenses for graduate students who attend a U.S. institution. Topics: Learn to code for the genome to phenome analysis from scratch. The following topics were covered: Genomic Prediction 1) Mixed-effects models with polygenic, maternal, and permanent environment effects 2) Iterative methods for solving linear systems 3) GBLUP and Bayesian alphabet 4) Variance component estimation 5) Multi-environment trials Phenomics 6) Image matrix manipulation 7) Computer vision algorithms and applications. The workshop will provided an introduction to programming and how to use it to code algorithms listed above from scratch for genomics to phenomics analyses. The course consists of lectures and practical components with hands-on exercises.