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"planemo upload for repository https://github.com/ohsu-comp-bio/ashlar commit 27f0c9be58e9e5aecc69067d0e60b5cb945de4b2-dirty"
author | perssond |
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date | Fri, 12 Mar 2021 00:14:49 +0000 |
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children | f183d9de4622 |
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<tool id="ashlar" name="ASHLAR" version="@VERSION@.6" profile="17.09"> <description>Alignment by Simultaneous Harmonization of Layer/Adjacency Registration</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> @VERSION_CMD@ <command detect_errors="exit_code"><![CDATA[ #def clean(file,type) #set name_clean = str($file.element_identifier).replace('.ome.tiff','').replace('.tiff','').replace('.tiff.','') #if $type == "raw" #set file_clean = $name_clean + ".ome.tiff" #elif $type == "ffp" #set file_clean = $name_clean + "_ffp.ome.tiff" #elif $type == "dfp" #set file_clean = $name_clean + "_dfp.ome.tiff" #end if #return $file_clean #end def ## Link the illumination files to appropriate file extension #for $dfp in $ldfp: ln -s "$dfp" "$clean($dfp,"dfp")" && #end for #for $ffp in $lffp: ln -s "$ffp" "$clean($ffp,"ffp")" && #end for @CMD_BEGIN@ ## Supply the raw images #for $raw in $lraw: "$raw" #end for ## Additional arguments -m $max_shift #if $flip_x --flip-x #end if #if $flip_y --flip-y #end if -c $adv.align_channel #if $adv.filter_sigma --filter-sigma $adv.filter_sigma #end if #if $adv.tile_size --tile-size $adv.tile_size #end if --ffp #for $ffp in $lffp: "$clean($ffp,"ffp")" #end for --dfp #for $dfp in $ldfp: "$clean($dfp,"dfp")" #end for --pyramid -f registered.ome.tif; #if $upgrade.decide == "do_upgrade" python ${__tool_directory__}/pyramid_upgrade.py registered.ome.tif #if $upgrade.markers_file -n `python "$get_markers" "${upgrade.markers_file}"` #end if #end if ]]></command> <configfiles> <configfile name="get_markers"> import pandas as pd import sys marker_file = sys.argv[1] df = pd.read_csv(marker_file) print(' '.join(df['marker_name'].array)) </configfile> </configfiles> <inputs> <param name="lraw" type="data_collection" format="tiff" collection_type="list" label="Raw Images"/> <param name="ldfp" type="data_collection" format="tiff" collection_type="list" label="Deep Field Profile Images"/> <param name="lffp" type="data_collection" format="tiff" collection_type="list" label="Flat Field Profile Images"/> <param name="flip_x" type="boolean" value="false" label="Flip X-axis"/> <param name="flip_y" type="boolean" value="false" label="Flip Y-axis"/> <param name="max_shift" type="integer" value="30" label="Maximum allowed per-tile corrective shift" help="In micros"/> <conditional name="upgrade"> <param name="decide" type="select" label="Upgrade to BF6-Compliant OME-TIFF Pyramid"> <option value="do_upgrade">Upgrade Pyramid</option> <option value="dont_upgrade">Leave Legacy Pyramid</option> </param> <when value="do_upgrade"> <param name="markers_file" type="data" format="csv,tabular" optional="true" label="Markers File (optional)"/> </when> <when value="dont_upgrade"> </when> </conditional> <section name="adv" title="Advanced Options" expanded="false"> <param name="align_channel" type="integer" value="0" label="Align Channel Number"/> <param name="filter_sigma" type="float" optional="true" label="Sigma"/> <param name="tile_size" type="integer" optional="true" label="Cyto Mask Channel"/> </section> </inputs> <outputs> <data format="tiff" name="output" from_work_dir="registered.ome.tif" label="${tool.name} on ${on_string}"/> </outputs> <help><![CDATA[ Ashlar python package for microscopy registration, developed by HMS (repo: https://github.com/labsyspharm/ashlar) ashlar [-h] [-o DIR] [-c [CHANNEL]] [--output-channels [CHANNEL [CHANNEL ...]]] [-m SHIFT] [--filter-sigma SIGMA] [-f FORMAT] [--pyramid] [--tile-size PIXELS] [--ffp [FILE [FILE ...]]] [--dfp [FILE [FILE ...]]] [--plates] [-q] [--version] [FILE [FILE ...]] Stitch and align one or more multi-series images positional arguments: FILE an image file to be processed (one file per cycle) optional arguments: -h, --help show this help message and exit -o DIR, --output DIR write output image files to DIR; default is the current directory -c [CHANNEL], --align-channel [CHANNEL] align images using channel number CHANNEL; numbering starts at 0 --output-channels [CHANNEL [CHANNEL ...]] output only channels listed in CHANNELS; numbering starts at 0 -m SHIFT, --maximum-shift SHIFT maximum allowed per-tile corrective shift in microns --filter-sigma SIGMA width in pixels of Gaussian filter to apply to images before alignment; default is 0 which disables filtering -f FORMAT, --filename-format FORMAT use FORMAT to generate output filenames, with {cycle} and {channel} as required placeholders for the cycle and channel numbers; default is cycle_{cycle}_channel_{channel}.tif --pyramid write output as a single pyramidal TIFF --tile-size PIXELS set tile width and height to PIXELS (pyramid output only); default is 1024 --ffp [FILE [FILE ...]] read flat field profile image from FILES; if specified must be one common file for all cycles or one file for each cycle --dfp [FILE [FILE ...]] read dark field profile image from FILES; if specified must be one common file for all cycles or one file for each cycle --plates enable plate mode for HTS data -q, --quiet suppress progress display --version print version OHSU Wrapper Repo: https://github.com/ohsu-comp-bio/ashlar Conda Package Available From: https://anaconda.org/ohsu-comp-bio/ashlar ]]></help> <expand macro="citations" /> </tool>