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planemo upload for repository https://github.com/goeckslab/tools-mti/tree/main/tools/quantification commit 4a521310a7989b781380c20e1aab3ac13ca86dff
author | goeckslab |
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date | Tue, 02 Jul 2024 17:48:30 +0000 |
parents | 3a916c4e9f5f |
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<tool id="quantification" name="MCQUANT" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="19.01"> <description>a module for single-cell data extraction</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <expand macro="version_cmd"/> <command detect_errors="aggressive"><![CDATA[ ln -s '$image' 'input.ome.tiff' && ln -s '$primary_mask' 'primary_mask.tiff' && #if $supp_mask ln -s '$supp_mask' 'supp_mask.tiff' && #end if mkdir './tool_out' && @CMD_BEGIN@ --masks 'primary_mask.tiff' #if $supp_mask 'supp_mask.tiff' #end if --image 'input.ome.tiff' --output './tool_out' #if str($mask_props).strip() --mask_props '$mask_props' #end if #if str($intensity_props).strip() --intensity_props '$intensity_props' #end if --channel_names '$channel_names' && #if $supp_mask mv tool_out/*supp_mask.csv supp_mask.csv && #end if mv tool_out/*primary_mask.csv primary_mask.csv ]]></command> <inputs> <param name="image" type="data" format="tiff" label="Registered TIFF"/> <param name="primary_mask" type="data" format="tiff" label="Primary Mask"/> <param name="supp_mask" type="data" optional="true" format="tiff" label="Additional Mask"/> <param name="channel_names" type="data" format="csv" label="Marker Channels"/> <param name="mask_props" type="text" label="Mask Metrics" help="Space separated list of additional metrics to be calculated for every mask."/> <param name="intensity_props" type="text" label="Intensity Metrics" help="Space separated list of additional metrics to be calculated for every marker separately."/> </inputs> <outputs> <data format="csv" name="cellmask" from_work_dir="primary_mask.csv" label="Primary Mask Quantification"/> <data format="csv" name="suppmask" from_work_dir="supp_mask.csv" label="Supplemental Mask Quantification"> <filter>supp_mask</filter> </data> </outputs> <tests> <test expect_num_outputs="2"> <param name="image" value="test.tiff" /> <param name="primary_mask" value="mask.tiff" /> <param name="supp_mask" value="supp_mask.tiff" /> <param name="channel_names" value="channels.csv" /> <output name="cellmask" ftype="csv"> <assert_contents> <has_n_lines n="264" delta="1" /> </assert_contents> </output> <output name="suppmask" ftype="csv"> <assert_contents> <has_n_lines n="264" delta="1" /> </assert_contents> </output> </test> </tests> <help><![CDATA[ -------- MCQUANT -------- **MCQUANT** module for single cell quantification given a segmentation mask and multi-channel image. The CSV structure is aligned with histoCAT output. **Inputs** 1. A fully stitched and registered image in .ome.tif format. Nextflow will use images in the registration/ and dearray/ subfolders as appropriate. 2. One or more segmentation masks in .tif format. Nextflow will use files in the segmentation/ subfolder within the project. 3. A .csv file containing a marker_name column specifying names of individual channels. Nextflow will look for this file in the project directory. **Outputs** A cell-by-feature table mapping Cell IDs to marker expression and morphological features (including x,y coordinates). ]]></help> <expand macro="citations" /> </tool>