comparison test-data/small-zlib-32.mzXML @ 15:6153e8ada1ee draft

"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/msconvert commit 7aa618964e95528ed59eea299701e65ccacae877"
author galaxyp
date Mon, 30 Nov 2020 16:01:10 +0000
parents 9d5de24e6ef7
children
comparison
equal deleted inserted replaced
14:3cf310697624 15:6153e8ada1ee
25 <dataProcessing> 25 <dataProcessing>
26 <software type="conversion" name="ProteoWizard software" version="3.0.8981"/> 26 <software type="conversion" name="ProteoWizard software" version="3.0.8981"/>
27 <processingOperation name="Conversion to mzML"/> 27 <processingOperation name="Conversion to mzML"/>
28 </dataProcessing> 28 </dataProcessing>
29 <dataProcessing> 29 <dataProcessing>
30 <software type="conversion" name="ProteoWizard software" version="3.0.19038"/> 30 <software type="conversion" name="ProteoWizard software" version="3.0.20287"/>
31 <processingOperation name="Conversion to mzML"/> 31 <processingOperation name="Conversion to mzML"/>
32 </dataProcessing> 32 </dataProcessing>
33 <dataProcessing centroided="1"> 33 <dataProcessing centroided="1">
34 <software type="processing" name="ProteoWizard software" version="3.0.19038"/> 34 <software type="processing" name="ProteoWizard software" version="3.0.20287"/>
35 <processingOperation name="peak picking"/> 35 <processingOperation name="peak picking"/>
36 <comment>CantWaiT (continuous wavelet transform) peak picker</comment>
36 </dataProcessing> 37 </dataProcessing>
37 <scan num="1" 38 <scan num="1"
38 scanType="Full" 39 scanType="Full"
39 centroided="1" 40 centroided="1"
40 msLevel="1" 41 msLevel="1"
1014 byteOrder="network" 1015 byteOrder="network"
1015 contentType="m/z-int">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