Tuesday Mar, 11, 2025 - 1:30 PM
W33: Accessing Clinical Databases
The UCLA ATLAS Precision Health Biobank integrates genetic information and de-identified medical records to enable precision health research. This introductory workshop will cover the basics of extracting health-related phenotypes from …
Tuesday Mar, 11, 2025 - 9:00 AM
W20: Single-Cell RNA-Seq Analysis with R
This workshop aims to introduce the basic concepts and algorithms for single-cell RNA-seq analysis. It will help participants obtain a better idea of how to use scRNA-seq technology, from considerations …
Monday Mar, 10, 2025 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: Christian Huber, PhD, Assistant Professor of Biology, Penn State University
TITLE: “TBD”
Tuesday Mar, 04, 2025 - 1:30 PM
W36: Mergeomics for Multiomics Integration
Mergeomics is a computational tool designed to elucidate the underlying pathways, networks, and key regulators of complex diseases by integrating multi-omics data (genomics, transcriptomics, epigenomics, proteomics, etc). With use of …
Tuesday Mar, 04, 2025 - 9:00 AM
W5b: RNA-Seq II Analysis
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 …
Monday Mar, 03, 2025 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: Jianzhi “George” Zhang, PhD, Marshall W. Nirenberg Collegiate Professor, University of Michigan
TITLE: “TBD”
Tuesday Feb, 25, 2025 - 1:30 PM
W5a: RNA-seq I Analysis
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 …
Monday Feb, 24, 2025 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: Aik Choon Tan, PhD, Senior Director of Data Science, Huntsman Cancer Institute: Jon M. and Karen Huntsman Endowed Chair in Cancer Data Science and Professor, University of Utah
TITLE: “TBD”
Thursday Feb, 20, 2025 - 8:00 AM
Computational Pathology Faculty Candidate Presentation – Dr. Matthew Jones
Matthew Jones, PhD Computational Pathology Faculty Candidate Postdoctoral Fellow, Department of Dermatology, Stanford University School of Medicine TITLE: “Unraveling The Evolutionary Principles of Cancer”
Tuesday Feb, 18, 2025 - 1:30 PM
W37: Applications of Large Language Models
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 …
