Mercurial > repos > ebi-gxa > seurat_dim_plot
diff seurat_dim_plot.xml @ 1:daeca8f7a26e draft
planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 0463f230d18201c740851d72e31a5024f391207f
author | ebi-gxa |
---|---|
date | Mon, 25 Nov 2019 06:12:13 -0500 |
parents | 6e26ee99fdfc |
children | 34f8d81f9d75 |
line wrap: on
line diff
--- a/seurat_dim_plot.xml Wed Apr 03 11:20:03 2019 -0400 +++ b/seurat_dim_plot.xml Mon Nov 25 06:12:13 2019 -0500 @@ -1,4 +1,4 @@ -<tool id="seurat_dim_plot" name="Seurat Plot dimension reduction" version="2.3.1+galaxy0"> +<tool id="seurat_dim_plot" name="Seurat Plot dimension reduction" version="@SEURAT_VERSION@_@VERSION@+galaxy0"> <description>graphs the output of a dimensional reduction technique (PCA by default). Cells are colored by their identity class.</description> <macros> <import>seurat_macros.xml</import> @@ -7,7 +7,7 @@ <expand macro="version" /> <command detect_errors="exit_code"><![CDATA[ seurat-dim-plot.R - --input-object-file '$input' + @INPUT_OBJECT@ #if $reduction_use --reduction-use '$reduction_use' #end if @@ -51,7 +51,7 @@ --output-image-file $output_image_file ]]></command> <inputs> - <param type="data" name="input" format="rdata" label="RDS object" help='File in which a serialized R matrix object may be found'/> + <expand macro="input_object_params"/> <param type="text" name="reduction_use" value='pca' label="Dimensionality reduction" help='Which dimensionality reduction to use. Default is "pca", can also be "tsne", or "ica", assuming these are precomputed' /> <param type="integer" name="dim_1" value='1' label="X axis dimension" help='Dimension for x-axis' /> <param type="integer" name="dim_2" value='2' label="Y axis dimension" help='Dimension for y-axis' /> @@ -85,13 +85,12 @@ **What it does** -Seurat_ is a toolkit for quality control, analysis, and exploration of single cell RNA sequencing -data. It is developed and maintained by the `Satija Lab`_ at NYGC. Seurat aims to enable users to -identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to -integrate diverse types of single cell data. +Graphs 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). -This tool graphs the output of a dimensional reduction technique (PCA by default). Cells are colored -by their identity class. +@SEURAT_INTRO@ -----