When you first access the application, a pop-up box will include some background information as shown below.
Select either single-cell RNA-Seq or Bulk RNA-seq data.
Existing datasets header, choose one or more existing data sets. Click on a row to select a data set. Click again to de-select.
Once the data set(s) are selected, you can subset the data to target specific factors (e.g. specific samples, condition, Seurat clusters, etc.)
Subset dataand a pop-up modal will appear as shown below. Here, select specific groups based on the factor specified in
Deselect allas shown below.
If you want to load the entire dataset rather than subsetting the data, just click on the
Load full dataset(s) button. If you have subset the data and want to load it, click on the
Load selected sample(s).
There are several options on the scRNA-Seq side including:
Type of clustering (explained in detail below), setting the minimum detection rate for all genes (
Detection rate threshold), excluding rRNA, mitochondrial and pseudo genes (
Exclude RNA/MT/pseudo genes) and down sampling the total number of cells for an analysis (
Type of clustering, you can choose
Use pre-assigned clusters in metadata, which will utilize the pre-computed clusters in the metadata. If you choose
Run multiple resolutions using Seurat, this will run multiple resolutions in Seurat from 0.4 to 2.8 with a 0.4 step for you to view in later areas in the application. This is useful for comparing results from different resolutions.