Organizer – Bioinformatics Core
Contact – UC Davis Bioinformatics Core, firstname.lastname@example.org
This workshop will cover experimental design, data generation, and analysis of single cell RNA sequencing data (primarily generated using the 10x platform) on the command line and within the R statistical programming language. Participants will explore software and protocols, create and modify workflows, and diagnose/treat problematic data utilizing high performance computing services. Exercises will be performed on the command line and within R with a provided dataset. The primary packages used for analysis will be 10x software (for sequence reads to counts) and the R packages (ex. Seurat) for downstream analysis.
There are no prerequisites other than basic familiarity with genomic concepts. Anyone with an interest in scRNA sequence analysis is welcome! Some familiarity with the command-line and R is helpful. However, we will dedicate some small amount of time to bringing everyone up-to-speed to be able to run the commands needed during this workshop.
Participants must bring their own laptops to use, which should have a recent version of R, Rstudio, and Java installed, and an application that allows them to ssh into a server (e.g. Bash for Windows, or Terminal for Apple), as well as the ability to connect to the internet via wifi.The registration fee is $1,500 for UC students, postdocs, staff and faculty, $1,750 for Non-UC academic or non-profit participants and $2,500 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.
Registration closes on: Aug. 12, 2020FIND OUT MORE