This workshop provides a one-day (~5 hour), hands-on introduction to current computational analysis approaches for studying single-cell RNA sequencing data. We will discuss the data formats used frequently in single-cell analysis, typical steps in quality control and processing of single-cell data, and some of the biological questions these data can be used to answer.
This workshop provides a one-day (~5 hour), hands-on introduction to current computational analysis approaches for studying single-cell RNA sequencing data. We will discuss the data formats used frequently in single-cell analysis, typical steps in quality control and processing of single-cell data, and some of the biological questions these data can be used to answer.
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@@ -24,6 +23,6 @@ Starting with the expression counts matrix, this workshop will cover the followi
1. Clustering and cell annotation
1. Clustering and cell annotation
1. Differential expression analysis
1. Differential expression analysis
You can access everything at the [workshop website](https://biocellgen-public.svi.edu.au/svi-sahmri_scrna-seq-workshop_2021-july/public/index.html).
You can access everything at the [workshop website](https://biocellgen-public.svi.edu.au/svi-sahmri_scrna-seq-workshop_2021-july/index.html).
