Open VOOginga opened 9 years ago
Hi, in consensusXML we have:
<consensusElement id="e_4835329514588776807" quality="0.89355">
<centroid rt="410" mz="500.011" it="600"/>
<groupedElementList>
<element map="0" id="0" rt="300" mz="500" it="500"/>
<element map="1" id="0" rt="510" mz="500.012" it="600"/>
<element map="2" id="0" rt="420" mz="500.021" it="700"/>
</groupedElementList>
and
<mapList count="3">
<map id="0" name="FeatureLinkerUnlabeled_5_input1.featureXML" label="" size="3">
</map>
<map id="1" name="FeatureLinkerUnlabeled_5_input2.featureXML" label="" size="3">
</map>
<map id="2" name="FeatureLinkerUnlabeled_5_input3.featureXML" label="" size="3">
</map>
</mapList>
Is this the information you need?
It's a feature request for TOPPView. Can the map ID be colour coded or made available via mouse-over? Makes debugging easier.
ok I see... I guess it can be quite easily added to: https://github.com/OpenMS/OpenMS/blob/develop/src/openms_gui/source/VISUAL/Spectrum2DCanvas.cpp#L974 Anyone?
Exactly...that would be quite helpful On 2 Oct 2015 09:30, "Timo Sachsenberg" notifications@github.com wrote:
ok I see... I guess it can be quite easily added to: https://github.com/OpenMS/OpenMS/blob/develop/src/openms_gui/source/VISUAL/Spectrum2DCanvas.cpp#L974 Anyone?
— Reply to this email directly or view it on GitHub https://github.com/OpenMS/OpenMS/issues/1621#issuecomment-144943051.
quick workaround for the meantime:
load the featureXMLs as well (after the conensus, so they are on top) and colour them individually. (I can see this is more work and time consuming).
I think this a duplicate of #275.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
I would like to request a new feature for the above tool. This tool links different maps (samples) in a label free experiment. However, it is impossible to know which peptide feature comes from which map(sample). The current output simply has information on the RT, m/z, sequence of the consensus feature but we have no idea from which sample the consensus features come from. If we could have an additional parameter that color codes the samples this will help in determining the origin the features making up the consensus feature. Attached is a picture showing what i mean.