Short Course on Methods for MultiOmics Data Analysis

PROJECT SUMMARY / ABSTRACT Large-scale molecular datasets have great potential to yield new biological discoveries and accelerate biomedical research. However, specialized skills and training are needed to effectively access, integrate, and interpret them. This project will address a shortage of these skills, by providing training and exposing students to examples of successful reuse of large-scale data. To equip researchers with the necessary technical, scientific, and implementation-related skills, we propose the Short Course on Methods for MultiOmics Data Analysis at the Jackson Laboratory (JAX). This week-long course will focus on developing conceptual knowledge and practical analytical techniques centered around rigorous analysis of Common Fund datasets. Our course will also focus on building the soft skills needed to work effectively in collaborative research teams. Experts from Common Fund projects including SenNet, KOMP2, GTEx, and the Metabolomics Workbench will serve as instructors and mentors in the course. Our goal is to build an educational program that cultivates rigorous, reproducible practices in managing and analyzing large-scale molecular data from the Common Fund while fostering effective, productive research teams and long-term collaborations. Achieving these goals will strengthen scientific rigor and broaden the impact of Common Fund data sets.