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"
TITLE: "The Predicament of the Industrialized Gut Microbiome"
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 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 […]
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 […]
TITLE: "Fair AI for Health: Reducing Bias in Predictive Models"
The 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 […]
The 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 […]
Fueled 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 […]
This workshop will introduce the basic principles of DNA methylation and briefly describe available methods for DNA methylation assessment, focusing on bisulfite sequencing (BS-Seq). We will cover the principles of BSseq preprocessing, alignment and methylation calling, differential methylation analysis, annotation and visualization. Attendees will have the opportunity to work on real DNA methylation data provided […]
Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring the abundances of mRNA molecules in cells and tissues while retaining information about their spatial locations. This workshop will introduce the basic concepts, major techniques, […]