openms: PeakPickerWavelet.xml comparison

comparison PeakPickerWavelet.xml @ 4:6ead64a594bd draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/openms commit 7a5239910fda9ed90cca286a38855703b40b1b56-dirty

author	bgruening
date	Wed, 27 Jan 2016 10:06:49 -0500
parents	3d84209d3178
children

comparison

equal deleted inserted replaced

-:ec62782f6c68
+:6ead64a594bd
-<?xml version='1.0' encoding='UTF-8'?>
+<?xml version="1.0" encoding="UTF-8"?>
-<tool id="PeakPickerWavelet" name="PeakPickerWavelet" version="1.12.0">
+<!--This is a configuration file for the integration of a tools into Galaxy (https://galaxyproject.org/). This file was automatically generated using CTD2Galaxy.-->
-<description>Finds mass spectrometric peaks in profile mass spectra.</description>
+<!--Proposed Tool Section: [Signal processing and preprocessing]-->
-<macros>
+<tool id="PeakPickerWavelet" name="PeakPickerWavelet" version="2.0.0">
-<token name="@EXECUTABLE@">PeakPickerWavelet</token>
+<description>Finds mass spectrometric peaks in profile mass spectra.</description>
-<import>macros.xml</import>
+<macros>
-</macros>
+<token name="@EXECUTABLE@">PeakPickerWavelet</token>
-<expand macro="stdio"/>
+<import>macros.xml</import>
-<expand macro="requirements"/>
+</macros>
-<command>PeakPickerWavelet
+<expand macro="references"/>
+<expand macro="stdio"/>
+<expand macro="requirements"/>
+<command>PeakPickerWavelet
--in ${param_in}
+#if $param_in:
--out ${param_out}
+-in $param_in
--threads \${GALAXY_SLOTS:-24}
+#end if
--algorithm:signal_to_noise ${param_signal_to_noise}
+#if $param_out:
--algorithm:peak_width ${param_peak_width}
+-out $param_out
-${param_estimate_peak_width}
+#end if
+-threads \${GALAXY_SLOTS:-24}
+#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 $adv_opts.adv_opts_selector=='advanced':
-${adv_opts.param_write_peak_meta_data}
+#if $adv_opts.param_write_peak_meta_data:
--algorithm:centroid_percentage ${adv_opts.param_centroid_percentage}
+-write_peak_meta_data
--algorithm:fwhm_lower_bound_factor ${adv_opts.param_fwhm_lower_bound_factor}
+#end if
--algorithm:fwhm_upper_bound_factor ${adv_opts.param_fwhm_upper_bound_factor}
+#if $adv_opts.param_force:
--algorithm:optimization:iterations ${adv_opts.param_iterations}
+-force
--algorithm:optimization:penalties:position ${adv_opts.param_position}
+#end if
--algorithm:optimization:penalties:left_width ${adv_opts.param_left_width}
+#if $adv_opts.param_algorithm_centroid_percentage:
--algorithm:optimization:penalties:right_width ${adv_opts.param_right_width}
+-algorithm:centroid_percentage $adv_opts.param_algorithm_centroid_percentage
--algorithm:optimization:penalties:height ${adv_opts.param_height}
+#end if
--algorithm:optimization:2d:tolerance_mz ${adv_opts.param_tolerance_mz}
+#if $adv_opts.param_algorithm_fwhm_lower_bound_factor:
--algorithm:optimization:2d:max_peak_distance ${adv_opts.param_max_peak_distance}
+-algorithm:fwhm_lower_bound_factor $adv_opts.param_algorithm_fwhm_lower_bound_factor
--algorithm:thresholds:peak_bound ${adv_opts.param_peak_bound}
+#end if
--algorithm:thresholds:peak_bound_ms2_level ${adv_opts.param_peak_bound_ms2_level}
+#if $adv_opts.param_algorithm_fwhm_upper_bound_factor:
--algorithm:thresholds:correlation ${adv_opts.param_correlation}
+-algorithm:fwhm_upper_bound_factor $adv_opts.param_algorithm_fwhm_upper_bound_factor
--algorithm:thresholds:noise_level ${adv_opts.param_noise_level}
+#end if
--algorithm:thresholds:search_radius ${adv_opts.param_search_radius}
+#if $adv_opts.param_algorithm_optimization_iterations:
--algorithm:wavelet_transform:spacing ${adv_opts.param_spacing}
+-algorithm:optimization:iterations $adv_opts.param_algorithm_optimization_iterations
-${adv_opts.param_deconvolution}
+#end if
--algorithm:deconvolution:asym_threshold ${adv_opts.param_asym_threshold}
+#if $adv_opts.param_algorithm_optimization_penalties_position:
--algorithm:deconvolution:left_width ${adv_opts.param_left_width}
+-algorithm:optimization:penalties:position $adv_opts.param_algorithm_optimization_penalties_position
--algorithm:deconvolution:right_width ${adv_opts.param_right_width}
+#end if
--algorithm:deconvolution:scaling ${adv_opts.param_scaling}
+#if $adv_opts.param_algorithm_optimization_penalties_left_width:
--algorithm:deconvolution:fitting:fwhm_threshold ${adv_opts.param_fwhm_threshold}
+-algorithm:optimization:penalties:left_width $adv_opts.param_algorithm_optimization_penalties_left_width
--algorithm:deconvolution:fitting:eps_abs ${adv_opts.param_eps_abs}
+#end if
--algorithm:deconvolution:fitting:eps_rel ${adv_opts.param_eps_rel}
+#if $adv_opts.param_algorithm_optimization_penalties_right_width:
--algorithm:deconvolution:fitting:max_iteration ${adv_opts.param_max_iteration}
+-algorithm:optimization:penalties:right_width $adv_opts.param_algorithm_optimization_penalties_right_width
--algorithm:deconvolution:fitting:penalties:position ${adv_opts.param_position}
+#end if
--algorithm:deconvolution:fitting:penalties:height ${adv_opts.param_height}
+#if $adv_opts.param_algorithm_optimization_penalties_height:
--algorithm:deconvolution:fitting:penalties:left_width ${adv_opts.param_left_width}
+-algorithm:optimization:penalties:height $adv_opts.param_algorithm_optimization_penalties_height
--algorithm:deconvolution:fitting:penalties:right_width ${adv_opts.param_right_width}
+#end if
--algorithm:SignalToNoiseEstimationParameter:max_intensity ${adv_opts.param_max_intensity}
+#if $adv_opts.param_algorithm_optimization_2d_tolerance_mz:
--algorithm:SignalToNoiseEstimationParameter:auto_max_stdev_factor ${adv_opts.param_auto_max_stdev_factor}
+-algorithm:optimization:2d:tolerance_mz $adv_opts.param_algorithm_optimization_2d_tolerance_mz
--algorithm:SignalToNoiseEstimationParameter:auto_max_percentile ${adv_opts.param_auto_max_percentile}
+#end if
--algorithm:SignalToNoiseEstimationParameter:auto_mode ${adv_opts.param_auto_mode}
+#if $adv_opts.param_algorithm_optimization_2d_max_peak_distance:
--algorithm:SignalToNoiseEstimationParameter:win_len ${adv_opts.param_win_len}
+-algorithm:optimization:2d:max_peak_distance $adv_opts.param_algorithm_optimization_2d_max_peak_distance
--algorithm:SignalToNoiseEstimationParameter:bin_count ${adv_opts.param_bin_count}
+#end if
--algorithm:SignalToNoiseEstimationParameter:stdev_mp ${adv_opts.param_stdev_mp}
+#if $adv_opts.param_algorithm_thresholds_peak_bound:
--algorithm:SignalToNoiseEstimationParameter:min_required_elements ${adv_opts.param_min_required_elements}
+-algorithm:thresholds:peak_bound $adv_opts.param_algorithm_thresholds_peak_bound
--algorithm:SignalToNoiseEstimationParameter:noise_for_empty_window ${adv_opts.param_noise_for_empty_window}
+#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 format="mzml" help="(-in) " label="input profile data file" name="param_in" optional="False" type="data"/>
-<param name="param_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 help="(-signal_to_noise) " label="Minimal signal to noise ratio for a peak to be picked" min="0.0" name="param_algorithm_signal_to_noise" optional="True" type="float" value="1.0"/>
-<param name="param_peak_width" type="float" min="0.0" optional="True" value="0.15" label="Approximate fwhm of the peaks." help="(-peak_width)"/>
+<param help="(-peak_width) " label="Approximate fwhm of the peaks" min="0.0" name="param_algorithm_peak_width" optional="True" type="float" value="0.15"/>
-<param name="param_estimate_peak_width" type="boolean" truevalue="-algorithm:estimate_peak_width true" falsevalue="-algorithm:estimate_peak_width false" checked="false" optional="True" label="Flag if the average peak width shall be estimated. Attention: when this flag is set, the peak_width is ignored." help="(-estimate_peak_width)"/>
+<param checked="false" falsevalue="" help="(-estimate_peak_width) Attention: when this flag is set, the peak_width is ignored" label="Flag if the average peak width shall be estimated" name="param_algorithm_estimate_peak_width" optional="True" truevalue="-algorithm:estimate_peak_width" type="boolean"/>
 <expand macro="advanced_options">
-<param name="param_write_peak_meta_data" type="boolean" truevalue="-write_peak_meta_data true" falsevalue="-write_peak_meta_data false" checked="false" optional="True" label="Write additional information about the picked peaks (maximal intensity, left and right area...) into the mzML-file.Attention: this can blow up files,as 7 arrays are stored per spectrum!" help="(-write_peak_meta_data)"/>
+<param checked="false" falsevalue="" help="(-write_peak_meta_data) Attention: this can blow up files, since seven arrays are stored per spectrum!" label="Write additional information about the picked peaks (maximal intensity, left and right area...) into the mzML-file" name="param_write_peak_meta_data" optional="True" truevalue="-write_peak_meta_data" type="boolean"/>
-<param name="param_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. If it is 1 the centroid position corresponds to the position of the highest intensity." help="(-centroid_percentage)"/>
+<param checked="false" falsevalue="" help="(-force) " label="Overwrite tool specific checks" name="param_force" optional="True" truevalue="-force" type="boolean"/>
-<param name="param_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. All peaks with width smaller than fwhm_bound_factor * peak_width are discarded." help="(-fwhm_lower_bound_factor)"/>
+<param help="(-centroid_percentage) If it is 1 the centroid position corresponds to the position of the highest intensity" label="Percentage of the maximum height that the raw data points must exceed to be taken into account for the calculation of the centroid" max="1.0" min="0.0" name="param_algorithm_centroid_percentage" optional="True" type="float" value="0.8"/>
-<param name="param_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. All peaks with width greater than fwhm_upper_bound_factor * peak_width are discarded." help="(-fwhm_upper_bound_factor)"/>
+<param help="(-fwhm_lower_bound_factor) All peaks with width smaller than fwhm_bound_factor * peak_width are discarded" label="Factor that calculates the minimal fwhm value from the peak_width" min="0.0" name="param_algorithm_fwhm_lower_bound_factor" optional="True" type="float" value="0.7"/>
-<param name="param_iterations" type="integer" min="1" optional="True" value="400" label="maximal number of iterations for the fitting step" help="(-iterations)"/>
+<param help="(-fwhm_upper_bound_factor) All peaks with width greater than fwhm_upper_bound_factor * peak_width are discarded" label="Factor that calculates the maximal fwhm value from the peak_width" min="0.0" name="param_algorithm_fwhm_upper_bound_factor" optional="True" type="float" value="20.0"/>
-<param name="param_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 help="(-iterations) " label="maximal number of iterations for the fitting step" min="1" name="param_algorithm_optimization_iterations" optional="True" type="integer" value="400"/>
-<param name="param_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 help="(-position) " label="penalty term for the fitting of the position:If it differs too much from the initial one it can be penalized" min="0.0" name="param_algorithm_optimization_penalties_position" optional="True" type="float" value="0.0"/>
-<param name="param_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 help="(-left_width) " 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" min="0.0" name="param_algorithm_optimization_penalties_left_width" optional="True" type="float" value="1.0"/>
-<param name="param_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 help="(-right_width) " 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" min="0.0" name="param_algorithm_optimization_penalties_right_width" optional="True" type="float" value="1.0"/>
-<param name="param_tolerance_mz" type="float" min="0.0" optional="True" value="2.2" label="mz tolerance for cluster construction" help="(-tolerance_mz)"/>
+<param help="(-height) " 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" min="0.0" name="param_algorithm_optimization_penalties_height" optional="True" type="float" value="1.0"/>
-<param name="param_max_peak_distance" type="float" min="0.0" optional="True" value="1.2" label="maximal peak distance in mz in a cluster" help="(-max_peak_distance)"/>
+<param help="(-tolerance_mz) " label="mz tolerance for cluster construction" min="0.0" name="param_algorithm_optimization_2d_tolerance_mz" optional="True" type="float" value="2.2"/>
-<param name="param_peak_bound" type="float" min="0.0" optional="True" value="10.0" label="Minimal peak intensity." help="(-peak_bound)"/>
+<param help="(-max_peak_distance) " label="maximal peak distance in mz in a cluste" min="0.0" name="param_algorithm_optimization_2d_max_peak_distance" optional="True" type="float" value="1.2"/>
-<param name="param_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 help="(-peak_bound) " label="Minimal peak intensity" min="0.0" name="param_algorithm_thresholds_peak_bound" optional="True" type="float" value="10.0"/>
-<param name="param_correlation" type="float" min="0.0" max="1.0" optional="True" value="0.5" label="minimal correlation of a peak and the raw signal. If a peak has a lower correlation it is skipped." help="(-correlation)"/>
+<param help="(-peak_bound_ms2_level) " label="Minimal peak intensity for MS/MS peaks" min="0.0" name="param_algorithm_thresholds_peak_bound_ms2_level" optional="True" type="float" value="10.0"/>
-<param name="param_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 help="(-correlation) If a peak has a lower correlation it is skipped" label="minimal correlation of a peak and the raw signal" max="1.0" min="0.0" name="param_algorithm_thresholds_correlation" optional="True" type="float" value="0.5"/>
-<param name="param_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 help="(-noise_level) " label="noise level for the search of the peak endpoints" min="0.0" name="param_algorithm_thresholds_noise_level" optional="True" type="float" value="0.1"/>
-<param name="param_spacing" type="float" min="0.0" optional="True" value="0.001" label="spacing of the cwt." help="(-spacing)"/>
+<param help="(-search_radius) " label="search radius for the search of the maximum in the signal after a maximum in the cwt was found" min="0" name="param_algorithm_thresholds_search_radius" optional="True" type="integer" value="3"/>
-<param name="param_deconvolution" type="boolean" truevalue="-algorithm:deconvolution:deconvolution true" falsevalue="-algorithm:deconvolution:deconvolution false" checked="false" optional="True" label="If you want heavily overlapping peaks to be separated set this value to &quot;true&quot;" help="(-deconvolution)"/>
+<param 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" label="Spacing of the CWT" min="0.0" name="param_algorithm_wavelet_transform_spacing" optional="True" type="float" value="0.001"/>
-<param name="param_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 checked="false" falsevalue="" help="(-deconvolution) " label="If you want heavily overlapping peaks to be separated set this value to &quot;true&quot;" name="param_algorithm_deconvolution_deconvolution" optional="True" truevalue="-algorithm:deconvolution:deconvolution" type="boolean"/>
-<param name="param_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 help="(-asym_threshold) " 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" min="0.0" name="param_algorithm_deconvolution_asym_threshold" optional="True" type="float" value="0.3"/>
-<param name="param_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 help="(-left_width) " label="1/left_width is the initial value for the left width of the peaks found in the deconvolution step" min="0.0" name="param_algorithm_deconvolution_left_width" optional="True" type="float" value="2.0"/>
-<param name="param_scaling" type="float" min="0.0" optional="True" value="0.12" label="Initial scaling of the cwt used in the seperation of heavily overlapping peaks. The initial value is used for charge 1, for higher charges it is adapted to scaling/charge." help="(-scaling)"/>
+<param help="(-right_width) " label="1/right_width is the initial value for the right width of the peaks found in the deconvolution step" min="0.0" name="param_algorithm_deconvolution_right_width" optional="True" type="float" value="2.0"/>
-<param name="param_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 help="(-scaling) The initial value is used for charge 1, for higher charges it is adapted to scaling/charge" label="Initial scaling of the cwt used in the separation of heavily overlapping peaks" min="0.0" name="param_algorithm_deconvolution_scaling" optional="True" type="float" value="0.12"/>
-<param name="param_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 help="(-fwhm_threshold) " 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" min="0.0" name="param_algorithm_deconvolution_fitting_fwhm_threshold" optional="True" type="float" value="0.7"/>
-<param name="param_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 help="(-eps_abs) " label="if the absolute error gets smaller than this value the fitting is stopped" min="0.0" name="param_algorithm_deconvolution_fitting_eps_abs" optional="True" type="float" value="9.99999974738e-06"/>
-<param name="param_max_iteration" type="integer" min="1" optional="True" value="10" label="maximal number of iterations for the fitting step" help="(-max_iteration)"/>
+<param help="(-eps_rel) " label="if the relative error gets smaller than this value the fitting is stopped" min="0.0" name="param_algorithm_deconvolution_fitting_eps_rel" optional="True" type="float" value="9.99999974738e-06"/>
-<param name="param_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 help="(-max_iteration) " label="maximal number of iterations for the fitting step" min="1" name="param_algorithm_deconvolution_fitting_max_iteration" optional="True" type="integer" value="10"/>
-<param name="param_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 help="(-position) " 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" min="0.0" name="param_algorithm_deconvolution_fitting_penalties_position" optional="True" type="float" value="0.0"/>
-<param name="param_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 help="(-height) " label="penalty term for the fitting of the intensity:If it gets negative during the fitting it can be penalized" min="0.0" name="param_algorithm_deconvolution_fitting_penalties_height" optional="True" type="float" value="1.0"/>
-<param name="param_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 help="(-left_width) " 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" min="0.0" name="param_algorithm_deconvolution_fitting_penalties_left_width" optional="True" type="float" value="0.0"/>
-<param name="param_max_intensity" type="integer" min="-1" optional="True" value="-1" label="maximal intensity considered for histogram construction. 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)." help="(-max_intensity)"/>
+<param help="(-right_width) " 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" min="0.0" name="param_algorithm_deconvolution_fitting_penalties_right_width" optional="True" type="float" value="0.0"/>
-<param name="param_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 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)" label="maximal intensity considered for histogram construction" min="-1" name="param_algorithm_SignalToNoiseEstimationParameter_max_intensity" optional="True" type="integer" value="-1"/>
-<param name="param_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 help="(-auto_max_stdev_factor) " label="parameter for 'max_intensity' estimation (if 'auto_mode' == 0): mean + 'auto_max_stdev_factor' * stdev" max="999.0" min="0.0" name="param_algorithm_SignalToNoiseEstimationParameter_auto_max_stdev_factor" optional="True" type="float" value="3.0"/>
-<param name="param_auto_mode" type="integer" min="-1" max="1" optional="True" value="0" label="method to use to determine maximal intensity: -1 --&gt; use 'max_intensity'; 0 --&gt; 'auto_max_stdev_factor' method (default); 1 --&gt; 'auto_max_percentile' method" help="(-auto_mode)"/>
+<param help="(-auto_max_percentile) " label="parameter for 'max_intensity' estimation (if 'auto_mode' == 1): auto_max_percentile th percentile" max="100" min="0" name="param_algorithm_SignalToNoiseEstimationParameter_auto_max_percentile" optional="True" type="integer" value="95"/>
-<param name="param_win_len" type="float" min="1.0" optional="True" value="200.0" label="window length in Thomson" help="(-win_len)"/>
+<param help="(-auto_mode) " label="method to use to determine maximal intensity: -1 --&gt; use 'max_intensity'; 0 --&gt; 'auto_max_stdev_factor' method (default); 1 --&gt; 'auto_max_percentile' method" max="1" min="-1" name="param_algorithm_SignalToNoiseEstimationParameter_auto_mode" optional="True" type="integer" value="0"/>
-<param name="param_bin_count" type="integer" min="3" optional="True" value="30" label="number of bins for intensity values" help="(-bin_count)"/>
+<param help="(-win_len) " label="window length in Thomson" min="1.0" name="param_algorithm_SignalToNoiseEstimationParameter_win_len" optional="True" type="float" value="200.0"/>
-<param name="param_stdev_mp" type="float" min="0.01" max="999.0" optional="True" value="3.0" label="multiplier for stdev" help="(-stdev_mp)"/>
+<param help="(-bin_count) " label="number of bins for intensity values" min="3" name="param_algorithm_SignalToNoiseEstimationParameter_bin_count" optional="True" type="integer" value="30"/>
-<param name="param_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 help="(-stdev_mp) " label="multiplier for stdev" max="999.0" min="0.01" name="param_algorithm_SignalToNoiseEstimationParameter_stdev_mp" optional="True" type="float" value="3.0"/>
-<param name="param_noise_for_empty_window" type="float" value="1e+20" label="noise value used for sparse windows" help="(-noise_for_empty_window)"/>
+<param help="(-min_required_elements) " label="minimum number of elements required in a window (otherwise it is considered sparse)" min="1" name="param_algorithm_SignalToNoiseEstimationParameter_min_required_elements" optional="True" type="integer" value="10"/>
-</expand>
+<param help="(-noise_for_empty_window) " label="noise value used for sparse windows" name="param_algorithm_SignalToNoiseEstimationParameter_noise_for_empty_window" type="float" value="1e+20"/>
-</inputs>
+</expand>
-<outputs>
+</inputs>
-<data name="param_out" label="output peak file " format="mzML"/>
+<outputs>
-</outputs>
+<data format="mzml" name="param_out"/>
-<help>**What it does**
+</outputs>
+<help>Finds mass spectrometric peaks in profile mass spectra.
-Finds mass spectrometric peaks in profile mass spectra.
-For more information, visit http://ftp.mi.fu-berlin.de/OpenMS/release-documentation/html/TOPP_PeakPickerWavelet.html
+For more information, visit http://ftp.mi.fu-berlin.de/OpenMS/release-documentation/html/TOPP_PeakPickerWavelet.html</help>
+</tool>
-@REFERENCES@
-</help>
-</tool>

Mercurial > repos > bgruening > openms

comparison PeakPickerWavelet.xml @ 4:6ead64a594bd draft default tip