Frontiers in Computational Biosciences Seminar Series: Hooman Allayee, PhD, Professor-in-residence, Medicine, UCLA
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: "System Genetics Studies of Coronary Artery Disease”
TITLE: "System Genetics Studies of Coronary Artery Disease”
As we step into the era of precision medicine, the need for extensive genomic data analysis is more pressing than ever. With the advent of high-throughput technologies, a plethora of […]
The application of omics (i.e., metabolomics, proteomics, transcriptomics, genomics) has become greatly popular in the life sciences. These technologies unlock the investigation of metabolism across thousands of genes, proteins, and metabolites, and provide a holistic perspective on the system of interest. However, to gather a systems-level understanding of biological functions in health and disease, omics […]
TITLE: “Leveraging functional annotations to enhance trait prediction and biological discovery” Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
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: "Decoding RNA and protein sequence-organization-function relationships" Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
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 to develop a gene expression project. This workshop is divided in three days that will cover major steps of processing RNA-seq. To facilitate learning, the […]
In order to make inferences based on genomic data, it is useful to understand the evolutionary forces that underlie observed genetic variation. The field of population genetics offers theoretical tools to test predictions, gain intuition, and even generate training data for statistical and deep learning models. However, population genetics simulations have historically been slow and […]
TITLE: "“The role of IFN-γ in Tumor Immunity - Mechanisms and TCR Gene Therapy”