• W24: Cancer Genomics

    529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United States

    As we step into the era of precision medicine, the need for extensive genomic data analysis is more pressing than ever. With the advent of high-throughput technologies, a plethora of genomic, transcriptomic, and epigenomic datasets from cancer patients have been sequenced, providing a wealth of data for systematic bioinformatics analysis. This workshop is tailored to […]

  • W37: Applications of Large Language Models

    529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United States

    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 Python is necessary, and basic knowledge about ML workflows is preferred. At the end of this workshop, you WILL be comfortable with loading, inferencing and […]

  • W5a: RNA-seq I Analysis

    529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United States

    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 to develop a gene expression project. This workshop is divided in three days that will cover major steps of processing RNA-seq. To facilitate learning, the […]

  • W25: Population Genetics Modeling

    529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United States

    In order to make inferences based on genomic data, it is useful to understand the evolutionary forces that underlie observed genetic variation. The field of population genetics offers theoretical tools to test predictions, gain intuition, and even generate training data for statistical and deep learning models. However, population genetics simulations have historically been slow and […]

  • W5b: RNA-Seq II Analysis

    529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United States

    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 based approach appropriate for Illumina read data (same as RNA-seq I).