| Shiny App | Description |
|---|---|
| PnBDesigner by GEML | Design Guide Sequences for Prime and Base editing |
| FGCZ iSEE | Interactively explore single cell data |
| Explore RNA-seq counts | Perform clustering and MDS plots; identify effect sizes and potential outliers |
| Explore RNA-seq differential expression | Filter and visualize your differential expression result; inspect individual genes; identify functional categor ies associated with gene lists |
| pcaExplorer | Visualization of RNA-seq data based on Pricipal Component analysis using pcaExplorer package |
| Heatmap | Create an interactive gene expression heatmap based on a differential expression result generated by SUSHI |
| PHeatmap | Create an interactive gene expression pretty heatmap based on a differential expression result generated by SUSHI |
| 2-way-Venn | Compare two sets of differential expression results to create a VennDiagram |
| 3-way-Venn | Compare three sets of differential expression results to create a VennDiagram |
| Correlation | Interactive scatterplot for two sets of differential expression results |
| Sequencing-Coverage-Calculator | Estimate coverage for Illumina Sequencing |
| Sample Sheet Check | Check Illumina Run set up for barcode issues |
| TNB-ETHZ: snRNA-seq | Interactive visualization of single-nuclei-RNAseq data from human and mouse adipocytes. |
| TNB-ETHZ: Espresso | Interactive visualization of in-house bulk RNAseq data from human and mouse adipose tissues. |
| TNB-ETHZ: BATLAS | Uses a deconvolution algorithm to estimate the percentage of brown adipocytes in human or mouse tissue using RNA-seq data. |