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, […]
Daniella Meeker, Associate Professor of Biomedical Informatics & Data Science, Chief Research Information Officer, Yale New Haven Health System 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 […]
Dmitri Petrov, Professor, Stanford University Real and Not Just Hopeful Monsters: Evolution by Very Large Jumps Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
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 […]
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) serves as an invaluable resource for researchers. This introductory workshop will cover the basics of writing queries to extract the relevant datasets for EHR-related research […]
