comparison test-data/small-numpressS.mzML @ 10:9d5de24e6ef7 draft

planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/msconvert commit d595e3cfe190a61d81005f9be7c2652aa5f91292

9:dd4ba10d0c45

<?xml version="1.0" encoding="utf-8"?>
<indexedmzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.2_idx.xsd">
  <mzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0.xsd" id="small" version="1.1.0">
    <cvList count="2">
      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="3.79.0" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/>
      <cv id="UO" fullName="Unit Ontology" version="12:10:2011" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/>
    </cvList>
    <fileDescription>
      <fileContent>
        <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
        <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/>
      </fileContent>
      <sourceFileList count="3">
        <sourceFile id="RAW1" name="small.RAW" location="file:///C:\pwiz-src\trunk\pwiz\example_data">
          <cvParam cvRef="MS" accession="MS:1000768" name="Thermo nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000563" name="Thermo RAW format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="b43e9286b40e8b5dbc0dfa2e428495769ca96a96"/>
        </sourceFile>
        <sourceFile id="small.mzML" name="small.mzML" location="file:///">
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="4efa13a2795731b5f2a1ff1c463daf0d24b9a9d9"/>
        </sourceFile>
        <sourceFile id="small-peakpicking-cwt-allMS.mzML" name="small-peakpicking-cwt-allMS.mzML" location="file:///">
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="8af1e376b6ed33679f7fcf965a5e7fd6b1bf77b7"/>
        </sourceFile>
      </sourceFileList>
    </fileDescription>
    <referenceableParamGroupList count="1">
      <referenceableParamGroup id="CommonInstrumentParams">
        <cvParam cvRef="MS" accession="MS:1000448" name="LTQ FT" value=""/>
        <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="SN06061F"/>
      </referenceableParamGroup>
    </referenceableParamGroupList>
    <softwareList count="3">
      <software id="Xcalibur" version="1.1 Beta 7">
        <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/>
      </software>
      <software id="pwiz" version="3.0.8981">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
      <software id="pwiz_3.0.8990" version="3.0.8990">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="2">
      <instrumentConfiguration id="IC1">

        <processingMethod order="0" softwareRef="pwiz">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
        </processingMethod>
      </dataProcessing>
      <dataProcessing id="pwiz_Reader_conversion">
        <processingMethod order="0" softwareRef="pwiz_3.0.8990">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
        </processingMethod>
        <processingMethod order="1" softwareRef="pwiz_3.0.8990">
          <cvParam cvRef="MS" accession="MS:1000035" name="peak picking" value=""/>
        </processingMethod>
      </dataProcessing>
    </dataProcessingList>
    <run id="small" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2005-07-20T14:44:22Z" defaultSourceFileRef="RAW1">

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            </binaryDataArray>
          </binaryDataArrayList>
        </spectrum>
        <spectrum index="22" id="controllerType=0 controllerNumber=1 scan=23" defaultArrayLength="701" dataProcessingRef="pwiz_Reader_conversion">
          <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/>
          <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
          <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="811.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>

                </scanWindow>
              </scanWindowList>
            </scan>
          </scanList>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="7480">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
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</binary>
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