This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with […]
RNA-seq I aims to provide an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). The workshop can serve also as a starting point […]
RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study […]
Mergeomics is a computational tool designed to elucidate the underlying pathways, networks, and key regulators of complex diseases by integrating multi-omics data (genomics, transcriptomics, epigenomics, proteomics, etc). With use of […]
This workshop aims to introduce the basic concepts and algorithms for single-cell RNA-seq analysis. It will help participants obtain a better idea of how to use scRNA-seq technology, from considerations […]
The UCLA ATLAS Precision Health Biobank integrates genetic information and de-identified medical records to enable precision health research. This introductory workshop will cover the basics of extracting health-related phenotypes from […]
