# HG changeset patch # User iuc # Date 1726050078 0 # Node ID 2622dd85416f5e3dd0ec232f8d344110bb68d184 planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/seurat_v5 commit a9214c07b0cc929a51fd92a369bb89c675b6c88d diff -r 000000000000 -r 2622dd85416f macros.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/macros.xml Wed Sep 11 10:21:18 2024 +0000 @@ -0,0 +1,437 @@ + + 5.0 + 0 + 23.0 + + + r-seurat + fit-sne + bioconductor-limma + bioconductor-mast + bioconductor-deseq2 + r-svglite + r-metap + bioconductor-glmGamPoi + umap-learn + leidenalg + r-harmony + bioconductor-batchelor + numpy + pandas + + + + + 10.1038/s41587-023-01767-y + + + + + + + + + + + + + + + + + + /dev/null | grep -v -i "WARNING: ") + ]]> + + + + + + + + + + + + ] + + $hidden_output && +Rscript '$script_file' >> $hidden_output + ]]> + + +
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+ + + advanced_common['show_log'] + + + + + method['method'] != 'Inspect' + + + + + + + + method['method'] == 'FindVariableFeatures' or method['method'] == 'SCTransform' + method['output_topN']['output_topN'] == 'true' + + + + + + + method['method'] == 'FindAllMarkers' or method['method'] == 'FindMarkers' or method['method'] == 'FindConservedMarkers' + + + + + + + method['method'] == 'RunPCA' and method['print_pcs']['print_pcs'] == 'true' + + + + + method['method'] == 'Inspect' and method['inspect']['inspect'] != 'General' + + + method['method'] == 'Inspect' and method['inspect']['inspect'] == 'General' + + + + + + + plot_format == 'png' + + + plot_format == 'pdf' + + + plot_format == 'svg' + + + plot_format == 'jpeg' + + + plot_format == 'tex' + + + plot_format == 'tiff' + + + plot_format == 'eps' + + + + + + + ^[\w\-.]+$ + + + ^[A-Za-z_]+$ + + + ^[\w\-., ]+$ + + + ^[\w[:punct:]]+$ + + + ^[\w[:punct:]]+$ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
diff -r 000000000000 -r 2622dd85416f plot.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/plot.xml Wed Sep 11 10:21:18 2024 +0000 @@ -0,0 +1,1263 @@ + + - Plot cells, features and dimensions + + macros.xml + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ `__ + +FeatureScatter +============== + +Create a scatter plot of two features (typically feature expression), across a set of single cells. Cells are colored by their identity class. +Pearson correlation between the two features is displayed above the plot. + +More details on the `seurat documentation +`__ + +CellScatter +=========== + +Creates a plot of scatter plot of features across two single cells. Pearson correlation between the two cells is displayed above the plot. + +More details on the `seurat documentation +`__ + +VariableFeaturePlot +=================== + +View selected variable features on a plot of variances. + +More details on the `seurat documentation +`__ + +VizDimLoadings +============== + +Visualize top genes associated with reduction components - default reduction is PCA. + +More details on the `seurat documentation +`__ + +DimPlot +======= + +Graph the output of a dimensional reduction technique on a 2D scatter plot where each point is a cell and it's positioned based on the cell embeddings determined by the reduction technique. +By default, cells are colored by their identity class (can be changed with the group.by parameter). + +More details on the `seurat documentation +`__ + +DimHeatmap +========== + +Draw a heatmap focusing on a principal component. Both cells and genes are sorted by their principal component scores. +Allows for nice visualization of sources of heterogeneity in the dataset. + +More details on the `seurat documentation +`__ + +ElbowPlot +========= + +Plot the standard deviations of the principal components for easy identification of an elbow in the graph - plots PCA as default reduction. + +More details on the `seurat documentation +`__ + +FeaturePlot +=========== + +Color single cells on a dimensional reduction plot according to a 'feature' (i.e. gene expression, PC scores, number of genes detected, etc.) + +More details on the `seurat documentation +`__ + +DoHeatmap +========= + +Draw a heatmap of single cell feature expression. + +More details on the `seurat documentation +`__ + +DotPlot +======= + +Visualize how feature expression changes across different identity classes (e.g. clusters). +The size of the dot encodes the percentage of cells within a class that express the gene, while the color encodes the AverageExpression level across all cells within a class. + +More details on the `seurat documentation +`__ + + ]]> + +
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