Mercurial > repos > galaxyp > openms_peakpickerwavelet
view PeakPickerWavelet.xml @ 7:17913dee7f88 draft
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit f608f41d45664d04d3124c6ebc791bf8a566b3c5
author | galaxyp |
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date | Wed, 15 May 2019 08:31:10 -0400 |
parents | 409cec15d717 |
children | bf3353f27d33 |
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<?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: [Signal processing and preprocessing]--> <tool id="PeakPickerWavelet" name="PeakPickerWavelet" version="2.3.0"> <description>Finds mass spectrometric peaks in profile mass spectra.</description> <macros> <token name="@EXECUTABLE@">PeakPickerWavelet</token> <import>macros.xml</import> </macros> <expand macro="references"/> <expand macro="stdio"/> <expand macro="requirements"/> <command detect_errors="aggressive"><![CDATA[PeakPickerWavelet #if $param_in: -in $param_in #end if #if $param_out: -out $param_out #end if #if $param_algorithm_signal_to_noise: -algorithm:signal_to_noise $param_algorithm_signal_to_noise #end if #if $param_algorithm_peak_width: -algorithm:peak_width $param_algorithm_peak_width #end if #if $param_algorithm_estimate_peak_width: -algorithm:estimate_peak_width #end if #if $adv_opts.adv_opts_selector=='advanced': #if $adv_opts.param_write_peak_meta_data: -write_peak_meta_data #end if #if $adv_opts.param_force: -force #end if #if $adv_opts.param_algorithm_centroid_percentage: -algorithm:centroid_percentage $adv_opts.param_algorithm_centroid_percentage #end if #if $adv_opts.param_algorithm_fwhm_lower_bound_factor: -algorithm:fwhm_lower_bound_factor $adv_opts.param_algorithm_fwhm_lower_bound_factor #end if #if $adv_opts.param_algorithm_fwhm_upper_bound_factor: -algorithm:fwhm_upper_bound_factor $adv_opts.param_algorithm_fwhm_upper_bound_factor #end if #if $adv_opts.param_algorithm_optimization_iterations: -algorithm:optimization:iterations $adv_opts.param_algorithm_optimization_iterations #end if #if $adv_opts.param_algorithm_optimization_penalties_position: -algorithm:optimization:penalties:position $adv_opts.param_algorithm_optimization_penalties_position #end if #if $adv_opts.param_algorithm_optimization_penalties_left_width: -algorithm:optimization:penalties:left_width $adv_opts.param_algorithm_optimization_penalties_left_width #end if #if $adv_opts.param_algorithm_optimization_penalties_right_width: -algorithm:optimization:penalties:right_width $adv_opts.param_algorithm_optimization_penalties_right_width #end if #if $adv_opts.param_algorithm_optimization_penalties_height: -algorithm:optimization:penalties:height $adv_opts.param_algorithm_optimization_penalties_height #end if #if $adv_opts.param_algorithm_optimization_2d_tolerance_mz: -algorithm:optimization:2d:tolerance_mz $adv_opts.param_algorithm_optimization_2d_tolerance_mz #end if #if $adv_opts.param_algorithm_optimization_2d_max_peak_distance: -algorithm:optimization:2d:max_peak_distance $adv_opts.param_algorithm_optimization_2d_max_peak_distance #end if #if $adv_opts.param_algorithm_thresholds_peak_bound: -algorithm:thresholds:peak_bound $adv_opts.param_algorithm_thresholds_peak_bound #end if #if $adv_opts.param_algorithm_thresholds_peak_bound_ms2_level: -algorithm:thresholds:peak_bound_ms2_level $adv_opts.param_algorithm_thresholds_peak_bound_ms2_level #end if #if $adv_opts.param_algorithm_thresholds_correlation: -algorithm:thresholds:correlation $adv_opts.param_algorithm_thresholds_correlation #end if #if $adv_opts.param_algorithm_thresholds_noise_level: -algorithm:thresholds:noise_level $adv_opts.param_algorithm_thresholds_noise_level #end if #if $adv_opts.param_algorithm_thresholds_search_radius: -algorithm:thresholds:search_radius $adv_opts.param_algorithm_thresholds_search_radius #end if #if $adv_opts.param_algorithm_wavelet_transform_spacing: -algorithm:wavelet_transform:spacing $adv_opts.param_algorithm_wavelet_transform_spacing #end if #if $adv_opts.param_algorithm_deconvolution_deconvolution: -algorithm:deconvolution:deconvolution #end if #if $adv_opts.param_algorithm_deconvolution_asym_threshold: -algorithm:deconvolution:asym_threshold $adv_opts.param_algorithm_deconvolution_asym_threshold #end if #if $adv_opts.param_algorithm_deconvolution_left_width: -algorithm:deconvolution:left_width $adv_opts.param_algorithm_deconvolution_left_width #end if #if $adv_opts.param_algorithm_deconvolution_right_width: -algorithm:deconvolution:right_width $adv_opts.param_algorithm_deconvolution_right_width #end if #if $adv_opts.param_algorithm_deconvolution_scaling: -algorithm:deconvolution:scaling $adv_opts.param_algorithm_deconvolution_scaling #end if #if $adv_opts.param_algorithm_deconvolution_fitting_fwhm_threshold: -algorithm:deconvolution:fitting:fwhm_threshold $adv_opts.param_algorithm_deconvolution_fitting_fwhm_threshold #end if #if $adv_opts.param_algorithm_deconvolution_fitting_eps_abs: -algorithm:deconvolution:fitting:eps_abs $adv_opts.param_algorithm_deconvolution_fitting_eps_abs #end if #if $adv_opts.param_algorithm_deconvolution_fitting_eps_rel: -algorithm:deconvolution:fitting:eps_rel $adv_opts.param_algorithm_deconvolution_fitting_eps_rel #end if #if $adv_opts.param_algorithm_deconvolution_fitting_max_iteration: -algorithm:deconvolution:fitting:max_iteration $adv_opts.param_algorithm_deconvolution_fitting_max_iteration #end if #if $adv_opts.param_algorithm_deconvolution_fitting_penalties_position: -algorithm:deconvolution:fitting:penalties:position $adv_opts.param_algorithm_deconvolution_fitting_penalties_position #end if #if $adv_opts.param_algorithm_deconvolution_fitting_penalties_height: -algorithm:deconvolution:fitting:penalties:height $adv_opts.param_algorithm_deconvolution_fitting_penalties_height #end if #if $adv_opts.param_algorithm_deconvolution_fitting_penalties_left_width: -algorithm:deconvolution:fitting:penalties:left_width $adv_opts.param_algorithm_deconvolution_fitting_penalties_left_width #end if #if $adv_opts.param_algorithm_deconvolution_fitting_penalties_right_width: -algorithm:deconvolution:fitting:penalties:right_width $adv_opts.param_algorithm_deconvolution_fitting_penalties_right_width #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_max_intensity: -algorithm:SignalToNoiseEstimationParameter:max_intensity $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_max_intensity #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_max_stdev_factor: -algorithm:SignalToNoiseEstimationParameter:auto_max_stdev_factor $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_max_stdev_factor #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_max_percentile: -algorithm:SignalToNoiseEstimationParameter:auto_max_percentile $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_max_percentile #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_mode: -algorithm:SignalToNoiseEstimationParameter:auto_mode $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_auto_mode #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_win_len: -algorithm:SignalToNoiseEstimationParameter:win_len $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_win_len #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_bin_count: -algorithm:SignalToNoiseEstimationParameter:bin_count $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_bin_count #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_stdev_mp: -algorithm:SignalToNoiseEstimationParameter:stdev_mp $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_stdev_mp #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_min_required_elements: -algorithm:SignalToNoiseEstimationParameter:min_required_elements $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_min_required_elements #end if #if $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_noise_for_empty_window: -algorithm:SignalToNoiseEstimationParameter:noise_for_empty_window $adv_opts.param_algorithm_SignalToNoiseEstimationParameter_noise_for_empty_window #end if #end if ]]></command> <inputs> <param name="param_in" type="data" format="mzml" optional="False" label="input profile data file" help="(-in) "/> <param name="param_algorithm_signal_to_noise" type="float" min="0.0" optional="True" value="1.0" label="Minimal signal to noise ratio for a peak to be picked" help="(-signal_to_noise) "/> <param name="param_algorithm_peak_width" type="float" min="0.0" optional="True" value="0.15" label="Approximate fwhm of the peaks" help="(-peak_width) "/> <param name="param_algorithm_estimate_peak_width" display="radio" type="boolean" truevalue="-algorithm:estimate_peak_width" falsevalue="" checked="false" optional="True" label="Flag if the average peak width shall be estimated" help="(-estimate_peak_width) Attention: when this flag is set, the peak_width is ignored"/> <expand macro="advanced_options"> <param name="param_write_peak_meta_data" display="radio" type="boolean" truevalue="-write_peak_meta_data" falsevalue="" checked="false" optional="True" label="Write additional information about the picked peaks (maximal intensity, left and right area...) into the mzML-file" help="(-write_peak_meta_data) Attention: this can blow up files, since seven arrays are stored per spectrum!"/> <param name="param_force" display="radio" type="boolean" truevalue="-force" falsevalue="" checked="false" optional="True" label="Overwrite tool specific checks" help="(-force) "/> <param name="param_algorithm_centroid_percentage" type="float" min="0.0" max="1.0" optional="True" value="0.8" label="Percentage of the maximum height that the raw data points must exceed to be taken into account for the calculation of the centroid" help="(-centroid_percentage) If it is 1 the centroid position corresponds to the position of the highest intensity"/> <param name="param_algorithm_fwhm_lower_bound_factor" type="float" min="0.0" optional="True" value="0.7" label="Factor that calculates the minimal fwhm value from the peak_width" help="(-fwhm_lower_bound_factor) All peaks with width smaller than fwhm_bound_factor * peak_width are discarded"/> <param name="param_algorithm_fwhm_upper_bound_factor" type="float" min="0.0" optional="True" value="20.0" label="Factor that calculates the maximal fwhm value from the peak_width" help="(-fwhm_upper_bound_factor) All peaks with width greater than fwhm_upper_bound_factor * peak_width are discarded"/> <param name="param_algorithm_optimization_iterations" type="integer" min="1" optional="True" value="400" label="maximal number of iterations for the fitting step" help="(-iterations) "/> <param name="param_algorithm_optimization_penalties_position" type="float" min="0.0" optional="True" value="0.0" label="penalty term for the fitting of the position:If it differs too much from the initial one it can be penalized" help="(-position) "/> <param name="param_algorithm_optimization_penalties_left_width" type="float" min="0.0" optional="True" value="1.0" label="penalty term for the fitting of the left width:If the left width differs too much from the initial one during the fitting it can be penalized" help="(-left_width) "/> <param name="param_algorithm_optimization_penalties_right_width" type="float" min="0.0" optional="True" value="1.0" label="penalty term for the fitting of the right width:If the right width differs too much from the initial one during the fitting it can be penalized" help="(-right_width) "/> <param name="param_algorithm_optimization_penalties_height" type="float" min="0.0" optional="True" value="1.0" label="penalty term for the fitting of the intensity (only used in 2D Optimization):If it gets negative during the fitting it can be penalized" help="(-height) "/> <param name="param_algorithm_optimization_2d_tolerance_mz" type="float" min="0.0" optional="True" value="2.2" label="mz tolerance for cluster construction" help="(-tolerance_mz) "/> <param name="param_algorithm_optimization_2d_max_peak_distance" type="float" min="0.0" optional="True" value="1.2" label="maximal peak distance in mz in a cluste" help="(-max_peak_distance) "/> <param name="param_algorithm_thresholds_peak_bound" type="float" min="0.0" optional="True" value="10.0" label="Minimal peak intensity" help="(-peak_bound) "/> <param name="param_algorithm_thresholds_peak_bound_ms2_level" type="float" min="0.0" optional="True" value="10.0" label="Minimal peak intensity for MS/MS peaks" help="(-peak_bound_ms2_level) "/> <param name="param_algorithm_thresholds_correlation" type="float" min="0.0" max="1.0" optional="True" value="0.5" label="minimal correlation of a peak and the raw signal" help="(-correlation) If a peak has a lower correlation it is skipped"/> <param name="param_algorithm_thresholds_noise_level" type="float" min="0.0" optional="True" value="0.1" label="noise level for the search of the peak endpoints" help="(-noise_level) "/> <param name="param_algorithm_thresholds_search_radius" type="integer" min="0" optional="True" value="3" label="search radius for the search of the maximum in the signal after a maximum in the cwt was found" help="(-search_radius) "/> <param name="param_algorithm_wavelet_transform_spacing" type="float" min="0.0" optional="True" value="0.001" label="Spacing of the CWT" help="(-spacing) Note that the accuracy of the picked peak's centroid position depends in the Raw data spacing, i.e., 50% of raw peak distance at most"/> <param name="param_algorithm_deconvolution_deconvolution" display="radio" type="boolean" truevalue="-algorithm:deconvolution:deconvolution" falsevalue="" checked="false" optional="True" label="If you want heavily overlapping peaks to be separated set this value to "true"" help="(-deconvolution) "/> <param name="param_algorithm_deconvolution_asym_threshold" type="float" min="0.0" optional="True" value="0.3" label="If the symmetry of a peak is smaller than asym_thresholds it is assumed that it consists of more than one peak and the deconvolution procedure is started" help="(-asym_threshold) "/> <param name="param_algorithm_deconvolution_left_width" type="float" min="0.0" optional="True" value="2.0" label="1/left_width is the initial value for the left width of the peaks found in the deconvolution step" help="(-left_width) "/> <param name="param_algorithm_deconvolution_right_width" type="float" min="0.0" optional="True" value="2.0" label="1/right_width is the initial value for the right width of the peaks found in the deconvolution step" help="(-right_width) "/> <param name="param_algorithm_deconvolution_scaling" type="float" min="0.0" optional="True" value="0.12" label="Initial scaling of the cwt used in the separation of heavily overlapping peaks" help="(-scaling) The initial value is used for charge 1, for higher charges it is adapted to scaling/charge"/> <param name="param_algorithm_deconvolution_fitting_fwhm_threshold" type="float" min="0.0" optional="True" value="0.7" label="If the FWHM of a peak is higher than 'fwhm_thresholds' it is assumed that it consists of more than one peak and the deconvolution procedure is started" help="(-fwhm_threshold) "/> <param name="param_algorithm_deconvolution_fitting_eps_abs" type="float" min="0.0" optional="True" value="9.99999974738e-06" label="if the absolute error gets smaller than this value the fitting is stopped" help="(-eps_abs) "/> <param name="param_algorithm_deconvolution_fitting_eps_rel" type="float" min="0.0" optional="True" value="9.99999974738e-06" label="if the relative error gets smaller than this value the fitting is stopped" help="(-eps_rel) "/> <param name="param_algorithm_deconvolution_fitting_max_iteration" type="integer" min="1" optional="True" value="10" label="maximal number of iterations for the fitting step" help="(-max_iteration) "/> <param name="param_algorithm_deconvolution_fitting_penalties_position" type="float" min="0.0" optional="True" value="0.0" label="penalty term for the fitting of the peak position:If the position changes more than 0.5Da during the fitting it can be penalized as well as discrepancies of the peptide mass rule" help="(-position) "/> <param name="param_algorithm_deconvolution_fitting_penalties_height" type="float" min="0.0" optional="True" value="1.0" label="penalty term for the fitting of the intensity:If it gets negative during the fitting it can be penalized" help="(-height) "/> <param name="param_algorithm_deconvolution_fitting_penalties_left_width" type="float" min="0.0" optional="True" value="0.0" label="penalty term for the fitting of the left width:If the left width gets too broad or negative during the fitting it can be penalized" help="(-left_width) "/> <param name="param_algorithm_deconvolution_fitting_penalties_right_width" type="float" min="0.0" optional="True" value="0.0" label="penalty term for the fitting of the right width:If the right width gets too broad or negative during the fitting it can be penalized" help="(-right_width) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_max_intensity" type="integer" min="-1" optional="True" value="-1" label="maximal intensity considered for histogram construction" help="(-max_intensity) By default, it will be calculated automatically (see auto_mode). Only provide this parameter if you know what you are doing (and change 'auto_mode' to '-1')! All intensities EQUAL/ABOVE 'max_intensity' will not be added to the histogram. If you choose 'max_intensity' too small, the noise estimate might be too small as well. If chosen too big, the bins become quite large (which you could counter by increasing 'bin_count', which increases runtime)"/> <param name="param_algorithm_SignalToNoiseEstimationParameter_auto_max_stdev_factor" type="float" min="0.0" max="999.0" optional="True" value="3.0" label="parameter for 'max_intensity' estimation (if 'auto_mode' == 0): mean + 'auto_max_stdev_factor' * stdev" help="(-auto_max_stdev_factor) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_auto_max_percentile" type="integer" min="0" max="100" optional="True" value="95" label="parameter for 'max_intensity' estimation (if 'auto_mode' == 1): auto_max_percentile th percentile" help="(-auto_max_percentile) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_auto_mode" type="integer" min="-1" max="1" optional="True" value="0" label="method to use to determine maximal intensity: -1 --> use 'max_intensity'; 0 --> 'auto_max_stdev_factor' method (default); 1 --> 'auto_max_percentile' method" help="(-auto_mode) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_win_len" type="float" min="1.0" optional="True" value="200.0" label="window length in Thomson" help="(-win_len) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_bin_count" type="integer" min="3" optional="True" value="30" label="number of bins for intensity values" help="(-bin_count) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_stdev_mp" type="float" min="0.01" max="999.0" optional="True" value="3.0" label="multiplier for stdev" help="(-stdev_mp) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_min_required_elements" type="integer" min="1" optional="True" value="10" label="minimum number of elements required in a window (otherwise it is considered sparse)" help="(-min_required_elements) "/> <param name="param_algorithm_SignalToNoiseEstimationParameter_noise_for_empty_window" type="float" value="1e+20" label="noise value used for sparse windows" help="(-noise_for_empty_window) "/> </expand> </inputs> <outputs> <data name="param_out" format="mzml"/> </outputs> <help>Finds mass spectrometric peaks in profile mass spectra. For more information, visit https://abibuilder.informatik.uni-tuebingen.de/archive/openms/Documentation/release/2.3.0/html/TOPP_PeakPickerWavelet.html</help> </tool>