SeuratPreparing

Load, prepare and apply QC to data, using `Seurat`

Filters and QC

Filters applied

Cell filters:

Gene filters: min_cells = 0; excludes =

The dimension table for the Seurat object. The table contains the number of cells and genes before and after QC.
Right click and save as to download the entire data
Before_Cell_QC 21485 33538
After_Cell_QC 21485 33538
After_Gene_QC 21485 33538
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Violin Plots

The violin plots for each feature. The cells are grouped by sample. The cells that fail the QC criteria are colored in red, and the cells that pass the QC criteria are colored in black. The cells that fail the QC criteria are filtered out in the returned Seurat object.
nFeature_RNA
Distribution of nFeature_RNA for each sample.
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nCount_RNA
Distribution of nCount_RNA for each sample.
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percent.mt
Distribution of percent.mt for each sample.
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percent.ribo
Distribution of percent.ribo for each sample.
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percent.hb
Distribution of percent.hb for each sample.
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percent.plat
Distribution of percent.plat for each sample.
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Scatter Plots

The scatter plots for each feature against nCount_RNA. The cells that fail the QC criteria are colored in red, and the cells that pass the QC criteria are colored in black. The cells that fail the QC criteria are filtered out in the returned Seurat object.
nFeature_RNA vs nCount_RNA
Scatter plot for nFeature_RNA against nCount_RNA
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percent.mt vs nCount_RNA
Scatter plot for percent.mt against nCount_RNA
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percent.ribo vs nCount_RNA
Scatter plot for percent.ribo against nCount_RNA
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percent.hb vs nCount_RNA
Scatter plot for percent.hb against nCount_RNA
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percent.plat vs nCount_RNA
Scatter plot for percent.plat against nCount_RNA
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