diff NoiseFilterGaussian.xml @ 0:3d84209d3178 draft

Uploaded
author bgruening
date Fri, 10 Oct 2014 18:20:03 -0400
parents
children 6ead64a594bd
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/NoiseFilterGaussian.xml	Fri Oct 10 18:20:03 2014 -0400
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+<?xml version='1.0' encoding='UTF-8'?>
+<tool id="NoiseFilterGaussian" name="NoiseFilterGaussian" version="1.12.0">
+  <description>Removes noise from profile spectra by using Gaussian filter (on uniform as well as non-uniform data).</description>
+  <macros>
+    <token name="@EXECUTABLE@">NoiseFilterGaussian</token>
+    <import>macros.xml</import>
+  </macros>
+  <expand macro="stdio"/>
+  <expand macro="requirements"/>
+  <command>NoiseFilterGaussian
+
+-in ${param_in}
+-out ${param_out}
+-processOption inmemory
+-threads \${GALAXY_SLOTS:-24} 
+-algorithm:gaussian_width ${param_gaussian_width}
+-algorithm:ppm_tolerance ${param_ppm_tolerance}
+${param_use_ppm_tolerance}
+</command>
+  <inputs>
+    <param name="param_in" type="data" format="mzML" optional="False" label="input raw data file " help="(-in)"/>
+    <param name="param_gaussian_width" type="float" value="0.2" label="Use a gaussian filter width which has approximately the same width as your mass peaks (FWHM in m/z)." help="(-gaussian_width)"/>
+    <param name="param_ppm_tolerance" type="float" value="10.0" label="Gaussian width, depending on the m/z position.#br#The higher the value, the wider the peak and therefore the wider the gaussian." help="(-ppm_tolerance)"/>
+    <param name="param_use_ppm_tolerance" type="boolean" truevalue="-algorithm:use_ppm_tolerance true" falsevalue="-algorithm:use_ppm_tolerance false" checked="false" optional="True" label="If true, instead of the gaussian_width value, the ppm_tolerance is used. The gaussian is calculated in each step anew, so this is much slower." help="(-use_ppm_tolerance)"/>
+  </inputs>
+  <outputs>
+    <data name="param_out" label="output raw data file " format="mzML"/>
+  </outputs>
+  <help>**What it does**
+
+Removes noise from profile spectra by using Gaussian filter (on uniform as well as non-uniform data).
+
+
+For more information, visit http://ftp.mi.fu-berlin.de/OpenMS/release-documentation/html/TOPP_NoiseFilterGaussian.html
+
+@REFERENCES@
+</help>
+</tool>