| Previous changeset 0:6e26ee99fdfc (2019-04-03) Next changeset 2:34f8d81f9d75 (2020-07-10) |
|
Commit message:
planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 0463f230d18201c740851d72e31a5024f391207f |
|
modified:
seurat_dim_plot.xml seurat_macros.xml |
| b |
| diff -r 6e26ee99fdfc -r daeca8f7a26e seurat_dim_plot.xml --- 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@ ----- |
| b |
| diff -r 6e26ee99fdfc -r daeca8f7a26e seurat_macros.xml --- a/seurat_macros.xml Wed Apr 03 11:20:03 2019 -0400 +++ b/seurat_macros.xml Mon Nov 25 06:12:13 2019 -0500 |
| [ |
| @@ -1,34 +1,110 @@ <?xml version="1.0"?> <macros> - - <token name="@VERSION@">0.0.5</token> - + <token name="@VERSION@">0.0.6</token> + <token name="@SEURAT_VERSION@">3.1.1</token> <xml name="requirements"> <requirements> <requirement type="package" version="@VERSION@">seurat-scripts</requirement> </requirements> </xml> - <xml name="version"> <version_command><![CDATA[ echo $(R --version | grep version | grep -v GNU)", seurat version" $(R --vanilla --slave -e "library(seurat); cat(sessionInfo()\$otherPkgs\$seurat\$Version)" 2> /dev/null | grep -v -i "WARNING: ") ]]></version_command> </xml> + <xml name="input_object_params"> + <conditional name="input" label="Input format"> + <param type="select" name="format" label="Choose the format of the input" help="RData, Loom or AnnData"> + <option value="rds_seurat" selected="true">RDS with a Seurat object</option> + <option value="loom">Loom</option> + <option value="anndata">AnnData</option> + <option value="rds_sce">RDS with a Single Cell Experiment object</option> + </param> + <when value="anndata"> + <param type="data" name="anndata_file" label="AnnData file" help="The AnnData format provided by Scanpy" format="h5,h5ad"/> + </when> + <when value="loom"> + <param type="data" name="loom_file" label="Loom file" help="Input as Loom v? file" format="h5,h5loom"/> + </when> + <when value="rds_seurat"> + <param type="data" name="rds_seurat_file" label="RDS file" help="Input as RDS file with Seurat 3 object" format="rdata"/> + </when> + <when value="rds_sce"> + <param type="data" name="rds_sce_file" label="RDS file" help="Input as RDS file with Single Cell Experiment object" format="rdata"/> + </when> + </conditional> + </xml> + + <token name="@INPUT_OBJECT@"> + #if $input.format == "anndata" + --input-object-file '$input.anndata_file' --input-format anndata + #else if $input.format == "loom" + --input-object-file '$input.loom_file' --input-format loom + #else if $input.format == "rds_seurat" + --input-object-file '$input.rds_seurat_file' --input-format seurat + #else if $input.format == "rds_sce" + --input-object-file '$input.rds_sce_file' --input-format singlecellexperiment + #end if + </token> + + <xml name="output_object_params"> + <param type="select" name="format" label="Choose the format of the output" help="Seurat, Single Cell Experiment or Loom"> + <option value="rds_seurat" selected="true">RDS with a Seurat object</option> + <option value="loom">Loom</option> + <option value="rds_sce">RDS with a Single Cell Experiment object</option> + </param> + </xml> + + <xml name="output_files"> + <data name="loom_file" from_work_dir="seurat_obj.loom" format="h5" label="${tool.name} on ${on_string}: Seurat Loom"> + <filter>format == 'loom'</filter> + </data> + <data name="rds_seurat_file" format="rdata" label="${tool.name} on ${on_string}: Seurat RDS"> + <filter>format == 'rds_seurat'</filter> + </data> + <data name="rds_sce_file" format="rdata" label="${tool.name} on ${on_string}: Seurat Single Cell Experiment RDS"> + <filter>format == 'rds_sce'</filter> + </data> + </xml> + + <token name="@OUTPUT_OBJECT@"> + #if $format == "anndata" + --output-object-file '$anndata_file' --output-format anndata + #else if $format == "loom" + --output-object-file seurat_obj.loom --output-format loom + #else if $format == "rds_seurat" + --output-object-file '$rds_seurat_file' --output-format seurat + #else if $format == "rds_sce" + --output-object-file '$rds_sce_file' --output-format singlecellexperiment + #end if + </token> + <xml name="genes-use-input"> - <param name="genes_use" argument="--genes-use" optional="true" type="data" format="tsv, txt" label="Genes to use" help="A file with gene names to use in construction of SNN graph if building directly based on expression data rather than a dimensionally reduced representation (i.e. PCs)."/> + <param name="genes_use" argument="--genes-use" optional="true" type="data" format="tsv,txt,tabular" label="Genes to use" help="A file with gene names to use in construction of SNN graph if building directly based on expression data rather than a dimensionally reduced representation (i.e. PCs)."/> </xml> <xml name="dims-use-input"> <param name="dims_use" argument="--dims-use" min="1" optional="true" type="integer" label="PCA Dimensions to use" help="Number of PCs (dimensions) to use in construction of the SNN graph."/> </xml> + <token name="@SEURAT_INTRO@"><![CDATA[ +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. + ]]></token> + <token name="@VERSION_HISTORY@"><![CDATA[ **Version history** -0.0.1: Initial contribution. Maria Doyle, https://github.com/mblue9. +3.1.1_0.0.6+galaxy0: Moved to Seurat 3. + + Find clusters: removed dims-use, k-param, prune-snn. 2.3.1+galaxy0: Improved documentation and further exposition of all script's options. Pablo Moreno, Jonathan Manning and Ni Huang, Expression Atlas team https://www.ebi.ac.uk/gxa/home at EMBL-EBI https://www.ebi.ac.uk/. Parts obtained from wrappers from Christophe Antoniewski(https://github.com/drosofff) and Lea Bellenger(https://github.com/bellenger-l). + +0.0.1: Initial contribution. Maria Doyle, https://github.com/mblue9. ]]></token> |