W9: Intro to Python

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

This workshop will cover the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.

W1: Unix command line I

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 […]

W1b: Intro to Unix command line II

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

This workshop (UNIX Command Line II) continues Workshop W1: UNIX Command Line I and uses the Hoffman2 campus computing cluster. The focus is on features that make dealing with large […]

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 […]

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 […]