All documentation for the workshop is best viewed from the github.io pages. If you click the link below, and nothing happens, you are already looking at the documentation page.
Advanced Topics in Single Cell RNA-Seq Analysis: Spatial Transcriptomics
Mar. 21, 2022 - Mar. 23, 2022, 9 a.m. - 5:00 p.m daily.
Contact - UC Davis Bioinformatics Core, training.bioinformatics@ucdavis.edu
This one-day online workshop follows a 10x Genomics Visium spatial transcriptomics experiment from sequencing data to visualization. The primary packages used for analysis will be 10x software for sequence reads to counts, and the R package Seurat for downstream analysis. Course materials assume familiarity with single cell RNA-Seq experiments, the command line, and R.
Participants will need access to a computer with a reliable connection to the internet, a current versions of R version and Rstudio installed, and an application that allows them to ssh into a server.
Who should attend? … Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.
What are the prerequisites? … Course materials assume familiarity with single cell RNA-Seq experiments, the command line, and R.
What do I need? … You will need access to a computer with a reliable connection to the internet, a current versions of R version and Rstudio installed, and an application that allows them to ssh into a server.
Can I bring my own data? … We will provide data for use during the workshop, as this helps to keep the workshop moving.
Where can I find more information, including your policies? ... Go to our website (bioinformatics.ucdavis.edu/training/) and check out our FAQ and Policies.
If you have any questions, please don’t hesitate to contact us at training.bioinformatics@ucdavis.edu