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Julia Meets Mendel: Algorithms and Software for Modern Genomic Data Analysis

We will introduce efficient computational methods in Julia for scalable genomic analysis. We will present genomic examples and offer simple hands on coding exercises via easy to use Jupyter notebooks as part of the OpenMendel project.

For more information, visit our Online Program Planner.

Learning Objectives:
1. Compare the advantages of Julia programming over R or Python programming.
2. Evaluate big genomic data within the OpenMendel package of Julia.
3. Apply a variety of analyses on their laptops including ordinal GWAS, haplotyping and imputation, Linear Mixed Models, and Iterative Hard Thresholding (an alternative to Lasso for multivariate GWAS).
4. Formulate a simple Julia programming script to suit their particular analysis or pipeline needs.

Looking for CE credits? (Not available until Friday, Oct. 30, 3:30pm Eastern USA)
Continuing Medical Education Credits (CMEs)
CEUs for Genetic Counselors

CEUs for California-Licensed Clinical and Molecular Laboratory Directors (P.A.C.E.®)