RNA expression in the single cell type clusters identified in this tissue visualized by a UMAP plot (top) and a bar chart (bottom).

- UMAP PLOT visualizes the cells in each cluster; where each dot corresponds to a cell. For each individual cell, mouseover reveals read count and which cluster the cell belongs to. Hovering over a cluster name will highlight the corresponding cluster in the bar chart below. There are 2 options for color schemes: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster. The cells are colored according to % of max (log2(read_count+1)/log2(max(read_count)+1)*100) in five different bins (<1%,<25%,<50%,<75%,≥75%)

- The LEGEND shows RNA expression (nTPM) in each cell type cluster. Hovering over the cluster name reveals nTPM value and number of included cells. Hovering over a bar highlights the corresponding cluster in the UMAP plot above. Color-coding can be toggled on the top of the page, between 2 options: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster.

RNA expression in the single cell type clusters identified in this tissue visualized by a UMAP plot (top) and a bar chart (bottom).

- UMAP PLOT visualizes the cells in each cluster; where each dot corresponds to a cell. For each individual cell, mouseover reveals read count and which cluster the cell belongs to. Hovering over a cluster name will highlight the corresponding cluster in the bar chart below. There are 2 options for color schemes: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster. The cells are colored according to % of max (log2(read_count+1)/log2(max(read_count)+1)*100) in five different bins (<1%,<25%,<50%,<75%,≥75%)

- The LEGEND shows RNA expression (nTPM) in each cell type cluster. Hovering over the cluster name reveals nTPM value and number of included cells. Hovering over a bar highlights the corresponding cluster in the UMAP plot above. Color-coding can be toggled on the top of the page, between 2 options: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster.

RNA expression in the single cell type clusters identified in this tissue visualized by a UMAP plot and a bar chart. This window shows single cell expression data generated by the https://tabula-sapiens.sf.czbiohub.org/about#consortium, that also offers UMAP visualization and cell type clusters for each tissue sample: https://tabula-sapiens.sf.czbiohub.org/organs, here integrate offering easy comparison to the HPA cluster method of single cell types.

• UMAP PLOT visualizes the cells in each cluster; where each dot corresponds to a cell. For each individual cell, mouseover reveals read count and which cluster the cell belongs to. Hovering over a cluster name will highlight the corresponding cluster in the bar chart below. There are 2 options for color schemes: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster. The cells are colored according to % of max (log2(read_count+1)/log2(max(read_count)+1)*100) in five different bins (<1%,<25%,<50%,<75%,≥75%)

• The LEGEND shows RNA expression (nTPM) in each cell type cluster. Hovering over the cluster name reveals nTPM value and number of included cells. Hovering over a bar highlights the corresponding cluster in the UMAP plot above. Color-coding can be toggled on the top of the page, between 2 options: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster.