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 […]
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 […]
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 […]
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 […]
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 […]
TITLE: "Spatial Single-Cell Mapping of Transcriptional Differences Across Genetic Backgrounds in Mouse Brains"
TITLE: "Chromosome-scale drift under stabilizing selection, with evolutionary implications"
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 […]
