comparison test-data/SciexTest-HPINalone-NE.mzML @ 10:9d5de24e6ef7 draft

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

10:9d5de24e6ef7

<?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="SciexTest-HPINalone+NE" version="1.1.0">
    <cvList count="2">
      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="4.1.12" URI="https://raw.githubusercontent.com/HUPO-PSI/psi-ms-CV/master/psi-ms.obo"/>
      <cv id="UO" fullName="Unit Ontology" version="09:04:2014" URI="https://raw.githubusercontent.com/bio-ontology-research-group/unit-ontology/master/unit.obo"/>
    </cvList>
    <fileDescription>
      <fileContent>
        <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
      </fileContent>
      <sourceFileList count="2">
        <sourceFile id="WIFF" name="SciexTest.wiff" location="file:///">
          <cvParam cvRef="MS" accession="MS:1000770" name="WIFF nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000562" name="ABI WIFF format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="d403e3be72b31b62097673cb4f4624b039bb6035"/>
        </sourceFile>
        <sourceFile id="WIFFSCAN" name="SciexTest.wiff.scan" location="file:///">
          <cvParam cvRef="MS" accession="MS:1000770" name="WIFF nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000562" name="ABI WIFF format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="08a3778ac98327d384c374052d4a39959aababa9"/>
        </sourceFile>
      </sourceFileList>
    </fileDescription>
    <softwareList count="2">
      <software id="Analyst" version="unknown">
        <cvParam cvRef="MS" accession="MS:1000551" name="Analyst" value=""/>
      </software>
      <software id="pwiz_Reader_ABI" version="3.0.19044">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="1">
      <instrumentConfiguration id="IC1">
        <cvParam cvRef="MS" accession="MS:1000139" name="4000 QTRAP" value=""/>
        <componentList count="5">
          <source order="1">
            <cvParam cvRef="MS" accession="MS:1000073" name="electrospray ionization" value=""/>
          </source>
          <analyzer order="2">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" value=""/>
          </analyzer>
          <analyzer order="3">
            <cvParam cvRef="MS" accession="MS:1000081" name="quadrupole" value=""/>
          </analyzer>
          <analyzer order="4">
            <cvParam cvRef="MS" accession="MS:1000078" name="axial ejection linear ion trap" value=""/>
          </analyzer>
          <detector order="5">
            <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/>
          </detector>
        </componentList>
        <softwareRef ref="Analyst"/>
      </instrumentConfiguration>
    </instrumentConfigurationList>
    <dataProcessingList count="1">
      <dataProcessing id="pwiz_Reader_ABI_conversion">
        <processingMethod order="0" softwareRef="pwiz_Reader_ABI">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
        </processingMethod>
      </dataProcessing>
    </dataProcessingList>
    <run id="SciexTest-HPINalone_x002b_NE" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2008-12-01T00:19:01Z" defaultSourceFileRef="WIFF">
      <chromatogramList count="39" defaultDataProcessingRef="pwiz_Reader_ABI_conversion">
        <chromatogram index="0" id="TIC" defaultArrayLength="2604">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="17052">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              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          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="1" id="SRM SIC Q1=264.114 Q3=396.129 sample=2 period=1 experiment=1 transition=0" defaultArrayLength="1353">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <userParam name="MS_dwell_time" value="0.10000000000000001" type="xs:float"/>
          <precursor>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="264.1136" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
            <activation>
              <cvParam cvRef="MS" accession="MS:1000133" name="collision-induced dissociation" value=""/>
              <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="0.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/>
            </activation>
          </precursor>
          <product>
            <isolationWindow>
              <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="396.1287" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </isolationWindow>
          </product>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="10896">
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              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
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AK2ndJvmI8AoIlv2oQLcGTNAMj9WABcaB6QJQNzRkqVCAagd8lYJmL6YBByfCHCTYmxXASLpweotQE3OMUgAYvLupI4SIIU22kkCDClYGy6cLcC1+yWW0/8JEEbKWrlSwHRoo4D5xRIB6GPePiBAPi2w4wKmS+cFHNcIMIbg6KsHAhx1OPcy77kAFN+qqwQg3XVH/lcBzicQYP8rQIPfl5qPshVi5He7g3Xshbjdyv35RFchog8GNWnoI+T4R8h0LFYIH1ELt/9ShaCP2VwoZDmCUogICs4mIcdFQjwOJR2oqxBe1Zkrd+QJmc4NEuLKzlZf9o8UItS5e4vMSUL0uC+8WTZLiAe3yYb+JwRNic6vEGIgFdSNQo6fhAgqm7g+64CQ4yghjrzqO6nDeSFcKRBeF2Ka9JA254EQhKrrVj0Twq8PqaAqIcdXQqaTf4WIIq/hj40IvVsRx9ZEhGJymm1dRaix294iDKUGL0TEcp0YERwJzrmkijBh5a/2hQIR899KETypMBpFyJ5VRohYBOJG5m/pIkJIVaPS6DwR09d8EcdnIriTcj08UQTaLvizRJRem59aJOJ4TYRRv1L7XtogQukxl0DjDhFcSHu/vV+EvqSdtSkTMR0+JwKVq87XRejYKHT8y/siHKS29JkIkbmkk78VcVwnwinSXn78EYGo7JMRNmKWlzQRc5wnhsOILh0aeIuhE/KbzQoW4zhv1C7HGDGa00aYIgZN9TwEYo7/xEzHjWJ0nzbHcUMbMY6+JSDfRYx/JcM+bu8lRo385os5LhSjwe3VfTMmitGZCstMMdP5RWI0+3X+3dnlYvTJJo5sgxhbfQnhbBeDxg2W/WJ0eH7F9/4xMWgc1/6cmONHMXrRuOq+GCeJPXrzVAzrmKej+74Vo+3cD5s+fxbjysxI+ZA/YjQxN/z3u64EPfa4hoxpLOH4UsL6RAsJCCWvbxQswc4Vnm3nRktAbatLigRd6YPyJRx3SuAaaKy72iBBFpGjoDYSkCoiJ0aC+jSA6iVBJwqAAyWg7TB5hATO1/vPODRBgt7xo/dipoT1l4USjk8lLH9aLwGNgfTbJSDd2fnWPgn0kj7nWx+T4ISguMejsxJYEczvfE0C+rUX9yQcv0pYH3ojQfeZR04P+CzBetPSEd9/S1DpThZWV4oBJS/EtRpLOa6Vgspt/RZSUBs5I0iK0qWkYUZL4fL3x+oFyVJYTtxq5c6XYsHUnU2Wy6Wg2OdrkILKyrrWUtC2HtZZyvGvFHnUSA+UYss1IrjDpagb75CYPkEK0c+qN0dnSEGxQ7RQynGxFDV56nopNo4iBbtNijoV0aXmfVK0ocHCUSmIC3Vsd1aKTz2Czzy5KkU3+rknBZWVN0+k+DdDJ+nzRopMU8TvT5+k2KHLXTL4txQN6AKtZZDTA91IBmqD6jaTgZbPZC8ZzGRb7IJk2Ppnqu+cKBmqjpOCTZahAzV4kIFQwApPuQw0Zlyll6EGw1vLsHkT+XSSwZqCYq4MbYnNLxkgA3G3u5KGy/Bl/rZHB8fLoPl6qB5myFjeu0CGFwQDZctkaE1k88I6GXaSctBtk8GOCvVeGcfnMhA3cODhGRn+dv32rONVGbJOWzepvCvDQnJMej6Rgb72d69loO1kwCcZVu6oL/z2S8bxu5z5fzs5im8SIXOWs7zXS44wCvqBcsYdUXKO6+XQUaGGnHGHTA4rGrzr5Rznyxl3dJKDHpNtPeUsLxggZ9wxTM5yg/Fyjv/ljDsWyBl3FMmhqDFIckzhk4rdKsfvjGXjTHvlnC+Qs1zhjJxxxxU54467clB79KpCznKG13LGHR/lLG/4Jed8gwKim2W8UXYKjCtc/sXKWcFyVU8F5yMUoGUwO1IB2l6dkxSMO3gKLHn6vrq5TIFPIgJkOgXnLxQsn+ioAMXDiJ4KZBJ8KOmvwAgiD0nDFPhQ3XzNgXEKzncoQN7697L5CsYdRQrGHWsVjDu2KliOsUeBcGJ/Wh5RsDzjtALfy7ps6nBFAb1//xvP7ig4f6Jg3PFKASEp834fFVhKXt/XnwrGHVZKaK7Oyf7bUMm4w0nJcg9PJedflCz/iFTiI3nMeYlKUPlz5SlBY/ciqZJxh07J+RolFuYQAeyoZNzRQwkZHUj0VzLuKFCynGScEqSb1zkyTcnykvlKvB1EjNRSJctN1io5/6Nk3LFHybijVImatndaCRoHll9WQjDBfkSXO0rGHeVKfJaSH3ylZNxRrWTc8VMJKu8/6qhYztJQxbjDScXyluYqxh0BKtB4eFaECjSub5qoYtyRqeJ8lIrlMFoVmlIj3FLFuKODinFHD1VNjLCjn4rzVyqWz4xVMe6YpsK4QQPlZfNUKEsnzmipCnTMcG6NCoTiTmuKVaA29tpuFeOOUhXjjlMq3B1PQOCyiuU4t1Xot2Xa/ZxyFctzXqoYd1SrWA79Q8X5MzXjjgZqTP58//aYpmrQuNamuZpxh78a81ypAVYz7khQs9wnU835NzXLf7RqJNEAL0uNQaFEOTuosfvD5RbFOWrGHf3UnK9T4/62YMeUsWrGHVPVbF4wT824o1DNuGONGoQCfl/aomZ50W41YkrNJ24dVrPc6JSa839qxh231Ri2ofX3F4/VuFk/x7fXSzWcrojufPigxqQLYwcN/KFm3FFbw3KlBhrGHU01jDs8NAijwbO/Bj1pcB6uYdyRoGF5U4aGcYdEAypHyzUaUMzxy9JgTCB5Ee01nI/UwE2zpdv2vhq0pIOEoRrGHWM0oGWXPlXDcvq5Gs5falg+tVrDuGOLBmcOVwqu7dLAlg4OD2tA4717JzWc79QggrahWxrGHY81jDteaNhc7oOG5VjfNdjz6c+NIbW1LM+qr2Xc4ahFGcG4uh5azp9qGXeEa3ExjVR6vBZ2dDCXoWXcIdbibvtBWi+NlnGHRctyr/Zazr9qWf7VV4vhNOAeosXBfuSbY7SomWdO0TLumKtF8c/svJNLtPCmgedqLeOOzVpc27+7vX6XlnHHIS3LyU5qsWk9AaSLWpaX3dKCHpfKR1pc7nbzRc8XWs7/ahl3fNeyflRLx+aA1jrQ41+rvg6VU34mCRrpYFP1cu54Bx2bPznr0J42THcdGtKBgJeOzVV8dSxHCtShZm4bpmPcG6XDQ3+bMQvidJh6kwZ9OpYjpOtgIeWSDR3no3VsDijT4XIxafRqHei4soteh93Ezq4z6xgft9JhTF/Xx6HtdIyTO+lYv+umw6Sx4V7VPXWgY4i4PjqUP02R5Q/QYfp8IjCDdUgRS/v/GKZDyw0JF9NG6xhHjyfrIm35yGQdyz1m6DDSM7m7aI4Oez2yEicuIOsaKZ5zZrEOtDs2WKbj/DlZF7HnM9fpWL/cRNa1RoOm23Qs79hJ1mUkDX6vDlv3dBp196AObbr3mO9xVMf5dx3j8DNkXdSgXNBh9IPcSP+rOqzgEWN6U4e7GUNbbrir43y9DnHLJ44Nf6IDHR/2riTrIvZk+2sdm1O907G6+aTDYPr5pgOdOu7/RdYVWNTm1z8d43drPef/9aDjpmN2etaPHfSIJsuTOOvZPMNNjynFO+PPeeqxwX7VLDtfPczHNqzRBOq5fEDPOD9SjzY06IzToyBxc2ZWkh5LFpNPmp5xP0/P5QZ6hNOATKaHirTNlSo9myvq9FyOoIeh95nwnFZ69KPC0lbP5pwd9ciiG9NNz/xBTz2XL+iZT+ivZ/1+sJ7Nn4bpWR40Sg+yK6I/4/Rc7qDHg5xafcZM16PmfsJsPfMRC/SgOCpdrEdtKshFenjzqztfWKlHa559XON1ZF2r/s7QbdKDlvHcrXpIqECU6EFU7mKzvXrGCwf1oHFf4RE9csMI2RzXY20IaUxn9KC3Fjpe0OMvwdfVV/RcfqFnPuSuHlY0iHlI1lUrIGxLhZ7Nh57rMbxjrDn6tR5LT3hv7/9OD4pPuz7q8SUg8t7Xr3rmU37poZmUZj3sn57phpUB7tRg2BpgWqwV8u0MoDHKOHsD0xEnA5d/GDC0seGh3NPAeMTHgGt92tteCjCwOXqoAXSsZog0sBw91gBCuStvJRq4fMTAfA7PgD9f88uXCg1snic1gMq+j8qAQVTQdAbQMehakwGXm4+a9aKlAe/JcQ5pa2A+qKOBy1EMoLdAPvQwsDl6bwPUdBDX34Cfqxfk7BlkYP6owICUnv290kYZMIAG6OMMjHcmkXWdXeZSe7oBNCYXzjaA7CZ/wnwDl7sY2L2GIgM3nzYwH7XWwOavGw1YXftQXcetBhwnuGcqIevqdDZq4R4DaDu/c8CAs6Rc3Y8YQGP/7ONkXXfOn1122sB46byBzWevkHUR3Oh6wwDaXtffIesi7eTVAwPoz4VVGLj8xsDm3q8MoNcnqqsMOOX3KCj+owHEdYwd9JWsi9jKfT8NXK5jwBAKkFZG0Nh6pK2R+bSGRlRv+lzLyt4IUuXOYicjDpe+6jvJ1Qhqa842N2J1HnHQPkZovZr1VAcYufzHiOa08CKMjMdijcinwJJoxPyvNu3/SzWCTwdQmUZUZRFhERpRc99HauTyISPzeVojVrhHPfQ3GUGqPLl7SyMeE9zZmG2EKwW3DkacnBUzOKKrEf0pwfUwYs7qwBc78ow4v1K851M/I5tnDyLr2p0aOKTACNpuD4w0sns5Y8m6yHZmTjIyfzjNyOVLRjjT4Hm+kfHef0bQ8fyUpUbMJDbz/AqyLvK1RmuNeLHDuFi70Qif7f1z5hQbQWPtGzuMzEfuMWLxQPLNA0Z2P6TUiG7E5jwoM4LKrddpI5dLGZFLB+GXjZj2hxi+60Z2/+COkfHiA7KuJkQBy42gP1P1jKyLfC3qlRF0TNyvygjhtflTd1YbufzKiCa0wf404hCxAQV/jWxOXceEyZsmjPprYwKVWzQ0oYJs59gmJtBrLCeamti9D1cT86nNTaAYOtXbhBpB8jehPQ2MQ0xYXH4sXR9hwj7h9kXzYkwg3bnbzQQTl3+ZQLGwVaaJ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