Quantitative Genomics Training: Methods and tools for whole-genome and transcriptome analyses COVID-19 Update: The Quantitative Genomics Training will no longer take place in person due to the COVID-19 pandemic. The Training will instead be a live-stream, remote training that takes place over live, online video on June 11-12, 2020 from 10am EDT – 5pm EDT. Please note this training is not a self-paced, pre-recorded online training. The Quantitative Genomics Training is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and tools for whole-genome and transcriptome analyses in human health studies. INSTRUCTORS Hae Kyung Im, PhD, Department of Genetic Medicine, University of Chicago. Iuliana Ionita-Laza, PhD, Department of Biostatistics, Columbia University. Kai Wang, PhD, CHOP and University of Pennsylvania. Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. PREREQUISITES AND REQUIREMENTS There are three prerequisites to attend this workshop: 1. Each participant must have an introductory background in statistics and genetics, and/or in the statistical analysis of genetic data. 2. Experience using R/Linux is recommended to get the most out of lab sessions. 3. Each participant must bring a laptop. For more details and to subscribe for updates; email us at Columbia.Genomics@gmail.com. Website: mailman.columbia.edu/Genomics Capacity is limited. Paid registration is required to attend.