Mercurial > repos > galaxyp > openms_mapalignertreeguided
view MapAlignerTreeGuided.xml @ 3:acbd811b19e1 draft
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit 2adf8edc3de4e1cd3b299b26abb14544d17d0636"
author | galaxyp |
---|---|
date | Fri, 06 Nov 2020 19:51:29 +0000 |
parents | 25c08f95cdf4 |
children | 502c7e321ba5 |
line wrap: on
line source
<?xml version='1.0' encoding='UTF-8'?> <!--This is a configuration file for the integration of a tools into Galaxy (https://galaxyproject.org/). This file was automatically generated using CTDConverter.--> <!--Proposed Tool Section: [Map Alignment]--> <tool id="MapAlignerTreeGuided" name="MapAlignerTreeGuided" version="@TOOL_VERSION@+galaxy@GALAXY_VERSION@" profile="20.05"> <description>Tree guided correction of retention time distortions between maps.</description> <macros> <token name="@EXECUTABLE@">MapAlignerTreeGuided</token> <import>macros.xml</import> <import>macros_autotest.xml</import> <import>macros_test.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <command detect_errors="exit_code"><![CDATA[@QUOTE_FOO@ @EXT_FOO@ #import re ## Preprocessing mkdir in && ${ ' '.join(["ln -s '%s' 'in/%s.%s' &&" % (_, re.sub('[^\w\-_]', '_', _.element_identifier), $gxy2omsext(_.ext)) for _ in $in if _]) } #if "out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') mkdir out && #end if #if "trafo_out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') mkdir trafo_out && #end if ## Main program call set -o pipefail && @EXECUTABLE@ -write_ctd ./ && python3 '$__tool_directory__/fill_ctd.py' '@EXECUTABLE@.ctd' '$args_json' '$hardcoded_json' && @EXECUTABLE@ -ini @EXECUTABLE@.ctd -in ${' '.join(["'in/%s.%s'"%(re.sub('[^\w\-_]', '_', _.element_identifier), $gxy2omsext(_.ext)) for _ in $in if _])} #if "out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') -out ${' '.join(["'out/%s.%s'"%(re.sub('[^\w\-_]', '_', _.element_identifier), $gxy2omsext("featurexml")) for _ in $in if _])} #end if #if "trafo_out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') -trafo_out ${' '.join(["'trafo_out/%s.%s'"%(re.sub('[^\w\-_]', '_', _.element_identifier), $gxy2omsext("trafoxml")) for _ in $in if _])} #end if #if len(str($OPTIONAL_OUTPUTS).split(',')) == 0 | tee '$stdout' #end if ## Postprocessing #if "out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') ${' '.join(["&& mv -n 'in/%(id)s.%(gext)s' 'out/%(id)s'"%{"id": re.sub('[^\w\-_]', '_', _.element_identifier), "gext": $gxy2omsext("featurexml")} for _ in $out if _])} #end if #if "trafo_out_FLAG" in str($OPTIONAL_OUTPUTS).split(',') ${' '.join(["&& mv -n 'in/%(id)s.%(gext)s' 'trafo_out/%(id)s'"%{"id": re.sub('[^\w\-_]', '_', _.element_identifier), "gext": $gxy2omsext("trafoxml")} for _ in $trafo_out if _])} #end if #if "ctd_out_FLAG" in $OPTIONAL_OUTPUTS && mv '@EXECUTABLE@.ctd' '$ctd_out' #end if]]></command> <configfiles> <inputs name="args_json" data_style="paths"/> <configfile name="hardcoded_json"><![CDATA[{"copy_data": "false", "log": "log.txt", "threads": "\${GALAXY_SLOTS:-1}", "no_progress": true}]]></configfile> </configfiles> <inputs> <param name="in" argument="-in" type="data" format="featurexml" multiple="true" optional="false" label="Input files to align (all must have the same file type)" help=" select featurexml data sets(s)"/> <section name="algorithm" title="Algorithm parameters section" help="" expanded="false"> <param name="model_type" argument="-algorithm:model_type" display="radio" type="select" optional="false" label="Options to control the modeling of retention time transformations from data" help=""> <option value="linear">linear</option> <option value="b_spline" selected="true">b_spline</option> <option value="lowess">lowess</option> <option value="interpolated">interpolated</option> <expand macro="list_string_san"/> </param> <section name="model" title="" help="" expanded="false"> <param name="type" argument="-algorithm:model:type" display="radio" type="select" optional="false" label="Type of model" help=""> <option value="linear">linear</option> <option value="b_spline" selected="true">b_spline</option> <option value="lowess">lowess</option> <option value="interpolated">interpolated</option> <expand macro="list_string_san"/> </param> <section name="linear" title="Parameters for 'linear' model" help="" expanded="false"> <param name="symmetric_regression" argument="-algorithm:model:linear:symmetric_regression" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Perform linear regression on 'y - x' vs" help="'y + x', instead of on 'y' vs. 'x'"/> <param name="x_weight" argument="-algorithm:model:linear:x_weight" display="radio" type="select" optional="true" label="Weight x values" help=""> <option value="">default (nothing chosen)</option> <option value="1/x">1/x</option> <option value="1/x2">1/x2</option> <option value="ln(x)">ln(x)</option> <option value=""></option> <expand macro="list_string_san"/> </param> <param name="y_weight" argument="-algorithm:model:linear:y_weight" display="radio" type="select" optional="true" label="Weight y values" help=""> <option value="">default (nothing chosen)</option> <option value="1/y">1/y</option> <option value="1/y2">1/y2</option> <option value="ln(y)">ln(y)</option> <option value=""></option> <expand macro="list_string_san"/> </param> <param name="x_datum_min" argument="-algorithm:model:linear:x_datum_min" type="float" optional="true" value="1e-15" label="Minimum x value" help=""/> <param name="x_datum_max" argument="-algorithm:model:linear:x_datum_max" type="float" optional="true" value="1000000000000000.0" label="Maximum x value" help=""/> <param name="y_datum_min" argument="-algorithm:model:linear:y_datum_min" type="float" optional="true" value="1e-15" label="Minimum y value" help=""/> <param name="y_datum_max" argument="-algorithm:model:linear:y_datum_max" type="float" optional="true" value="1000000000000000.0" label="Maximum y value" help=""/> </section> <section name="b_spline" title="Parameters for 'b_spline' model" help="" expanded="false"> <param name="wavelength" argument="-algorithm:model:b_spline:wavelength" type="float" optional="true" min="0.0" value="0.0" label="Determines the amount of smoothing by setting the number of nodes for the B-spline" help="The number is chosen so that the spline approximates a low-pass filter with this cutoff wavelength. The wavelength is given in the same units as the data; a higher value means more smoothing. '0' sets the number of nodes to twice the number of input points"/> <param name="num_nodes" argument="-algorithm:model:b_spline:num_nodes" type="integer" optional="true" min="0" value="5" label="Number of nodes for B-spline fitting" help="Overrides 'wavelength' if set (to two or greater). A lower value means more smoothing"/> <param name="extrapolate" argument="-algorithm:model:b_spline:extrapolate" display="radio" type="select" optional="false" label="Method to use for extrapolation beyond the original data range" help="'linear': Linear extrapolation using the slope of the B-spline at the corresponding endpoint. 'b_spline': Use the B-spline (as for interpolation). 'constant': Use the constant value of the B-spline at the corresponding endpoint. 'global_linear': Use a linear fit through the data (which will most probably introduce discontinuities at the ends of the data range)"> <option value="linear" selected="true">linear</option> <option value="b_spline">b_spline</option> <option value="constant">constant</option> <option value="global_linear">global_linear</option> <expand macro="list_string_san"/> </param> <param name="boundary_condition" argument="-algorithm:model:b_spline:boundary_condition" type="integer" optional="true" min="0" max="2" value="2" label="Boundary condition at B-spline endpoints: 0 (value zero), 1 (first derivative zero) or 2 (second derivative zero)" help=""/> </section> <section name="lowess" title="Parameters for 'lowess' model" help="" expanded="false"> <param name="span" argument="-algorithm:model:lowess:span" type="float" optional="true" min="0.0" max="1.0" value="0.666666666666667" label="Fraction of datapoints (f) to use for each local regression (determines the amount of smoothing)" help="Choosing this parameter in the range .2 to .8 usually results in a good fit"/> <param name="num_iterations" argument="-algorithm:model:lowess:num_iterations" type="integer" optional="true" min="0" value="3" label="Number of robustifying iterations for lowess fitting" help=""/> <param name="delta" argument="-algorithm:model:lowess:delta" type="float" optional="true" value="-1.0" label="Nonnegative parameter which may be used to save computations (recommended value is 0.01 of the range of the input" help="e.g. for data ranging from 1000 seconds to 2000 seconds, it could be set to 10). Setting a negative value will automatically do this"/> <param name="interpolation_type" argument="-algorithm:model:lowess:interpolation_type" display="radio" type="select" optional="false" label="Method to use for interpolation between datapoints computed by lowess" help="'linear': Linear interpolation. 'cspline': Use the cubic spline for interpolation. 'akima': Use an akima spline for interpolation"> <option value="linear">linear</option> <option value="cspline" selected="true">cspline</option> <option value="akima">akima</option> <expand macro="list_string_san"/> </param> <param name="extrapolation_type" argument="-algorithm:model:lowess:extrapolation_type" display="radio" type="select" optional="false" label="Method to use for extrapolation outside the data range" help="'two-point-linear': Uses a line through the first and last point to extrapolate. 'four-point-linear': Uses a line through the first and second point to extrapolate in front and and a line through the last and second-to-last point in the end. 'global-linear': Uses a linear regression to fit a line through all data points and use it for interpolation"> <option value="two-point-linear">two-point-linear</option> <option value="four-point-linear" selected="true">four-point-linear</option> <option value="global-linear">global-linear</option> <expand macro="list_string_san"/> </param> </section> <section name="interpolated" title="Parameters for 'interpolated' model" help="" expanded="false"> <param name="interpolation_type" argument="-algorithm:model:interpolated:interpolation_type" display="radio" type="select" optional="false" label="Type of interpolation to apply" help=""> <option value="linear">linear</option> <option value="cspline" selected="true">cspline</option> <option value="akima">akima</option> <expand macro="list_string_san"/> </param> <param name="extrapolation_type" argument="-algorithm:model:interpolated:extrapolation_type" display="radio" type="select" optional="false" label="Type of extrapolation to apply: two-point-linear: use the first and last data point to build a single linear model, four-point-linear: build two linear models on both ends using the first two / last two points, global-linear: use all points to build a single linear model" help="Note that global-linear may not be continuous at the border"> <option value="two-point-linear" selected="true">two-point-linear</option> <option value="four-point-linear">four-point-linear</option> <option value="global-linear">global-linear</option> <expand macro="list_string_san"/> </param> </section> </section> <section name="align_algorithm" title="" help="" expanded="false"> <param name="score_cutoff" argument="-algorithm:align_algorithm:score_cutoff" type="boolean" truevalue="true" falsevalue="false" checked="false" label="If only IDs above a score cutoff should be used" help="Used together with min_score"/> <param name="min_score" argument="-algorithm:align_algorithm:min_score" type="float" optional="true" value="0.05" label="Minimum score for an ID to be considered" help="Applies to the last score calculated.. Unless you have very few runs or identifications, increase this value to focus on more informative peptides"/> <param name="min_run_occur" argument="-algorithm:align_algorithm:min_run_occur" type="integer" optional="true" min="2" value="2" label="Minimum number of runs (incl" help="reference, if any) in which a peptide must occur to be used for the alignment.. Unless you have very few runs or identifications, increase this value to focus on more informative peptides"/> <param name="max_rt_shift" argument="-algorithm:align_algorithm:max_rt_shift" type="float" optional="true" min="0.0" value="0.5" label="Maximum realistic RT difference for a peptide (median per run vs" help="reference). Peptides with higher shifts (outliers) are not used to compute the alignment.. If 0, no limit (disable filter); if > 1, the final value in seconds; if <= 1, taken as a fraction of the range of the reference RT scale"/> <param name="use_unassigned_peptides" argument="-algorithm:align_algorithm:use_unassigned_peptides" type="boolean" truevalue="true" falsevalue="false" checked="true" label="Should unassigned peptide identifications be used when computing an alignment of feature or consensus maps" help="If 'false', only peptide IDs assigned to features will be used"/> <param name="use_feature_rt" argument="-algorithm:align_algorithm:use_feature_rt" type="boolean" truevalue="true" falsevalue="false" checked="true" label="When aligning feature or consensus maps, don't use the retention time of a peptide identification directly; instead, use the retention time of the centroid of the feature (apex of the elution profile) that the peptide was matched to" help="If different identifications are matched to one feature, only the peptide closest to the centroid in RT is used.. Precludes 'use_unassigned_peptides'"/> </section> </section> <expand macro="adv_opts_macro"> <param name="force" argument="-force" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Overrides tool-specific checks" help=""/> <param name="test" argument="-test" type="hidden" optional="true" value="False" label="Enables the test mode (needed for internal use only)" help=""> <expand macro="list_string_san"/> </param> </expand> <param name="OPTIONAL_OUTPUTS" type="select" optional="true" multiple="true" label="Optional outputs"> <option value="out_FLAG">out (Output files (same file type as 'in'))</option> <option value="trafo_out_FLAG">trafo_out (Transformation output files)</option> <option value="ctd_out_FLAG">Output used ctd (ini) configuration file</option> </param> </inputs> <outputs> <collection type="list" name="out" label="${tool.name} on ${on_string}: out"> <discover_datasets directory="out" format="featurexml" pattern="__name__"/> <filter>OPTIONAL_OUTPUTS is not None and "out_FLAG" in OPTIONAL_OUTPUTS</filter> </collection> <collection type="list" name="trafo_out" label="${tool.name} on ${on_string}: trafo_out"> <discover_datasets directory="trafo_out" format="trafoxml" pattern="__name__"/> <filter>OPTIONAL_OUTPUTS is not None and "trafo_out_FLAG" in OPTIONAL_OUTPUTS</filter> </collection> <data name="stdout" format="txt" label="${tool.name} on ${on_string}: stdout"> <filter>OPTIONAL_OUTPUTS is None</filter> </data> <data name="ctd_out" format="xml" label="${tool.name} on ${on_string}: ctd"> <filter>OPTIONAL_OUTPUTS is not None and "ctd_out_FLAG" in OPTIONAL_OUTPUTS</filter> </data> </outputs> <tests> <expand macro="autotest_MapAlignerTreeGuided"/> <expand macro="manutest_MapAlignerTreeGuided"/> </tests> <help><![CDATA[Tree guided correction of retention time distortions between maps. For more information, visit http://www.openms.de/doxygen/release/2.6.0/html/TOPP_MapAlignerTreeGuided.html]]></help> <expand macro="references"/> </tool>