Frontiers in Computational Biosciences Seminar Series: Xuebing Wu, PhD, Assistant Professor of Medical Sciences – Columbia University
Boyer Hall 159TITLE: "Illuminating the Twilight Zone: The Noncoding Genome Lost in Translation"
Past Events
10 events found.
W17: Machine Learning with Python
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesThis 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 hands-on activities, starting from the basics of how to load and prepare biological datasets in a Python environment.
W16: Library Prep for NGS
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesThis workshop will cover the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. Different Library Preparation Techniques (DNA-seq, ChIP-seq, RNA-seq, Methyl-seq) are explained the first and second day in class. The third day, Quality Control steps of the starting input material and final libraries are performed in the Lab (TapeStation). Purification from Primer Dimers […]
Frontiers in Computational Biosciences Seminar Series: Justin Sonnenburg, PhD, Alex and Susie Algard Endowed Professor, Microbiology & Immunology – Stanford University
Boyer Hall 159TITLE: "The Predicament of the Industrialized Gut Microbiome"
W3: Intro to R and Data Visualization
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesR (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 will conduct hands-on tutorials throughout the session, giving attendees a chance to see R in action. This course is a pre-requisite for several other Collaboratory […]
W37: Applications of Large Language Models
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesThis 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 […]
Frontiers in Computational Biosciences Seminar Series: Tiffani Bright, PhD, Co-Director, Center for Artificial Intelligence Research and Education; Assistant Professor, Department of Computational Biomedicine – Cedars-Sinai Medical Center
ZOOM CA, United StatesTITLE: "Fair AI for Health: Reducing Bias in Predictive Models"
W21: Image Processing for Microscopy
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesThe analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be a unique analysis challenge, and packages may not always work out-of-the-box. In this workshop, we will explore some popular computational tools to extract quantitative information […]
W26: Protein Structure with AlphaFold
529 Boyer Hall 611 Charles E Young Dr E,, Los Angeles, CA, United StatesThe goal of the workshop is to enable the participants to submit and rationally evaluate results of the AlphaFold protein structure predictions. The class will cover the basic principles of the structural biology of proteins, protein structure visualization (in pymol) and protein structure prediction. The participants will have opportunity to generate AlphaFold predictions for a […]
Webinar: Big data for novel diagnostics and therapeutics
ZOOM CA, United StatesFueled by technological innovations, online databases and algorithmic developments, biomedical research is rapidly becoming a data science. In this webinar, three of the most innovative UCLA faculty will share their perspectives on how biological big data are enabling their research. We will hear about robotic instrumentation that generate big data about drugs and genes, how diverse […]
