Application: Fill out the online application here: Differential Expression Workshop Application Application due by October 13, 2025 When October 20-24, 2025 (5 days) 9 am – 4 pm Where Virtual (by the National Center for Genome Resources (NCGR) Santa Fe, NM) Topic Overview Analysis of gene expression changes in response to different treatments or conditions can yield important biological insights, including elucidating abiotic and biotic stress responses, uncovering disease and resistance mechanisms, and highlighting developmental changes. In this workshop you will learn how to perform differential gene expression, visualization, and pathway analysis. In addition, you will learn how to perform coexpression analysis and identify genes driving expression shifts.

A presentation by: Mindy Hébert-DeRouen, PhD, MPH Assistant Professor Department of Public Health Sciences College of Health, Education, and Social Transformation Use of EHR-based cohorts for research requires informed extraction, harmonization, and operationalization of EHR data. Dr. Hebert-DeRouen will describe the development of an EHR-based cohort with data from three healthcare systems linked to population-based cancer registry data to examine clinical and neighborhood factors that contribute to racial and ethnic disparities in liver cancer. She will detail operationalization of detailed race/ethnicity (17 categories) and liver cancer risk factors from EHR data; illustrate the utility of linking EHR data to cancer registry data; and present results on racial/ethnic disparities in liver cancer as well as the relative prevalence and contribution of risk factors to liver cancer diagnosis across racial/ethnic groups.

Application: Fill out the online application here: Single Cell Workshop Application Application due by midnight October 20, 2025 When October 27 – 31, 2025 (5 days) 9 am – 4 pm Where Virtual (by the National Center for Genome Resources (NCGR) Santa Fe, NM) Topic Overview A typical RNA sequencing experiment captures transcriptional changes at the bulk tissue level representing a heterogenous mixture of cells and providing an aggregated expression result. By performing RNA sequencing on isolated single cells, one can pinpoint cellular expression and consider transcriptome sequences from individual cells to investigate, for example, cell lineage relationships, variability between cells and how a cell functions in its local environment. In this workshop, you will import single cell data, and cover topics such as normalization, quality control, dimensionality reduction, visualization, and data interpretation.

More information to come