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 […]
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) […]
“A lack of distinct cellular identities in scRNA-seq data: revisiting Waddington’s landscape” Single-cell RNA sequencing is revolutionizing our understanding of development, differentiation and disease. Analysis of this data is often […]
“Unraveling Signaling Pathway Crosstalk Using LLMs” Living cells do not process information through isolated, linear pathways. Instead, they rely on an intricate network of signaling crosstalk to make critical fate […]