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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
UCLA Health serves well over half a million patients annually, and as a result, UCLA possesses a vast database of Electronic Health Records (EHR). The stemming Discovery Data Repository (DDR) […]
