Events for March 30 - February 2

  • W1a: Intro to Unix & the Hoffman2 Cluster

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

    Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First, this workshop introduces the basic concepts of UNIX operating system and […]

  • W2: Using NGS Analysis Tools

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

    High-throughput sequencing technology involves a number of concepts and techniques that shape a project before application-specific processes are utilized. First, this workshop introduces the more “universal” aspects of high-throughput sequence […]

  • W18: Advanced Python

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

    This workshop will cover some more advanced topics in python including an overview of object-oriented python (this will not be an in-depth course on object-oriented programming), use of the numpy […]

  • W3: Intro to R and Data Visualization

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

    R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We […]

  • W17: Machine Learning with Python

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

    This workshop will cover the basic principles involved in the applications mentioned above, such as pattern recognition, linear and non-linear regression and cluster analysis. The workshop will be oriented towards […]

  • 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 […]