Single Cell RNA-Seq Analysis

This three-day workshop covers experimental design, data generation, and analysis of single cell RNA sequencing data. Participants will explore a single cell experiment using the command line and R, create and modify workflows, and diagnose and treat problematic data utilizing high performance computing services. The primary packages used for analysis will be 10x software for sequence reads to counts, and the R package Seurat for downstream analysis. Visit the course website to see documentation from previous coourses for more information.

A basic understanding of the command line and R is highly recommended for success in this course. We will conduct a very brief review on the first morning of the course, but we will not be providing full instruction in basic CLI or R. To get the maximum value out of the course, intermediate knowledge of CLI and R is needed, though beginners without this prior knowledge will still achieve a thorough understanding of single cell RNA-Seq techniques and analysis, but may not be able to conduct an experiment on their own. For a thorough grounding in bioinformatics prerequisites, we recommend beginners enroll in our introductory courses in CLI and / or R.

The registration fee is $1,500 for current students, postdocs, staff and faculty at Univeristy of California campus' or UC National Labs (LBNL, LANL, LLNL), $1,750 for other academic or non-profit participants and $3,000 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.

This workshop will be held online from 9:00 am to 5:00 pm (PST) each day.