index.Rmd 738 Bytes
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---
title: "SAHMRI Single-cell RNA-seq Analysis Workshop"
site: workflowr::wflow_site
output:
  workflowr::wflow_html:
    toc: true
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

##  Introduction   

In this workshop, we will introduce the data infrastructure for scRNA-seq analysis 
in R and practice a workflow of scRNAseq analysis; from pre-processing, quality
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control to dimensionality reduction and clustering. We will then demonstrate the
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usage of marker genes for cell type annotation and an automatic approach for matching
query cells to a reference atlas with labels. 

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Follow this link for the [single-cell RNAseq analysis workflow focusing on cell type identification](sahmri_analysis-workflow.html)