# HG changeset patch # User iuc # Date 1716057142 0 # Node ID f7446fd8d5e7b4442f785f521fee86336855bff6 # Parent 6f5349dd5c4935a6af03e8a0620504751d9486c1 planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scanpy/ commit 9d49b2a98de059ae9a053dc1c5a23537cf0311de diff -r 6f5349dd5c49 -r f7446fd8d5e7 macros.xml --- a/macros.xml Thu Mar 14 15:35:53 2024 +0000 +++ b/macros.xml Sat May 18 18:32:22 2024 +0000 @@ -1,7 +1,7 @@ 1.9.6 - 2 - 22.05 + 3 + 21.09 scanpy diff -r 6f5349dd5c49 -r f7446fd8d5e7 plot.xml --- a/plot.xml Thu Mar 14 15:35:53 2024 +0000 +++ b/plot.xml Sat May 18 18:32:22 2024 +0000 @@ -2299,7 +2299,7 @@ category. More details on the `scanpy documentation -`__ +`__ Generic: Hierarchically-clustered heatmap (`pl.clustermap`) =========================================================== @@ -2317,7 +2317,7 @@ Column indices, use: clustergrid.dendrogram_col.reordered_ind More details on the `scanpy documentation -`__ +`__ Preprocessing: Plot the fraction of counts assigned to each gene over all cells (`pl.highest_expr_genes`) ========================================================================================================= @@ -2329,7 +2329,7 @@ This plot is similar to the `scater` package function `plotHighestExprs(type= "highest-expression")` More details on the `scanpy documentation -`__ +`__ Preprocessing: Plot dispersions versus means for genes (`pl.highly_variable_genes`) =================================================================================== @@ -2337,25 +2337,25 @@ It produces Supp. Fig. 5c of Zheng et al. (2017) and MeanVarPlot() of Seurat. More details on the `scanpy documentation -`__ +`__ PCA: Scatter plot in PCA coordinates (`pl.pca`) =============================================== More details on the `scanpy documentation -`__ +`__ PCA: Rank genes according to contributions to PCs (`pl.pca_loadings`) ===================================================================== More details on the `scanpy documentation -`__ +`__ PCA: Plot the variance ratio (`pl.pca_variance_ratio`) ====================================================== More details on the `scanpy documentation -`__ +`__ PCA: Plot PCA results (`pl.pca_overview`) ========================================= @@ -2364,37 +2364,37 @@ if you want to change the default settings. More details on the `scanpy documentation -`__ +`__ Embedding: Scatter plot in tSNE basis (`pl.tsne`) ================================================= More details on the `scanpy documentation -`__ +`__ Embeddings: Scatter plot in UMAP basis (`pl.umap`) ================================================== More details on the `scanpy documentation -`__ +`__ Embeddings: Scatter plot in Diffusion Map basis (`pl.diffmap`) ============================================================== More details on the `scanpy documentation -`__ +`__ Branching trajectories and pseudotime, clustering: Plot groups and pseudotime (`pl.dpt_groups_pseudotime`) =========================================================================================================== More details on the `scanpy documentation -`__ +`__ Branching trajectories and pseudotime, clustering: Heatmap of pseudotime series (`pl.dpt_timeseries`) ===================================================================================================== More details on the `scanpy documentation -`__ +`__ Branching trajectories and pseudotime, clustering: Plot the abstracted graph through thresholding low-connectivity edges (`pl.paga`) @@ -2407,56 +2407,56 @@ `maxiter` parameter by 1 if the layout is flipped. More details on the `scanpy documentation -`__ +`__ Branching trajectories and pseudotime, clustering: Scatter and PAGA graph side-by-side (`pl.paga_compare`) ========================================================================================================== More details on the `scanpy documentation -`__ +`__ Branching trajectories and pseudotime, clustering: Gene expression and annotation changes along paths (`pl.paga_path`) ====================================================================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes using dotplot plot (`pl.rank_genes_groups`) =============================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes as violin plot (`pl.rank_genes_groups_violin`) ================================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes as dotplot plot (`pl.rank_genes_groups_dotplot`) ==================================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes as heatmap plot (`pl.rank_genes_groups_heatmap`) ==================================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes as matrixplot plot (`pl.rank_genes_groups_matrixplot`) ========================================================================================== More details on the `scanpy documentation -`__ +`__ Marker genes: Plot ranking of genes as stacked violin plot (`pl.rank_genes_groups_stacked_violin`) ================================================================================================== More details on the `scanpy documentation -`__ +`__ ]]>