MeltDBWiki/PeakDetection: Difference between revisions

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   [[Image:MeltDBWiki$$PeakDetection$runtool1.png]]  
   [[Image:MeltDBWiki$$PeakDetection$runtool1.png]]  


* A list of applicable tools defined in your MeltDB project is presented. Select e.g. MetaB for a TIC based peak detection. (This only works for netCDF files) and click 'Run analysis'.  
* A list of applicable tools defined in your MeltDB project is presented. Select e.g. XCMS for a TIC based peak detection and click 'Run analysis'.  
 
  [[Image:MeltDBWiki$$PeakDetection$runtool2.png]]
 
* The job is submitted to a compute cluster and you can observe its progress via the 'Show job status' dialog.
* The job is submitted to a compute cluster and you can observe its progress via the 'Show job status' dialog.



Revision as of 09:51, 20 May 2010


Perform preprocessing methods using MeltDB: PeakDetection

  • After logging in to MeltDB, navigate to your experiment or chromatogram.
  • Select 'Run Analysis' from the list of possible actions.
 MeltDBWiki$$PeakDetection$runtool1.png 
  • A list of applicable tools defined in your MeltDB project is presented. Select e.g. XCMS for a TIC based peak detection and click 'Run analysis'.
  • The job is submitted to a compute cluster and you can observe its progress via the 'Show job status' dialog.
 MeltDBWiki$$PeakDetection$jobstatus1.png
  • Open the respective job from the list and review the state of the computation. State 5 represents finished jobs, state 3 represents running and state 6 represents failed jobs. A message regarding the current status provides additional information.
 MeltDBWiki$$PeakDetection$jobstatus2.png
 MeltDBWiki$$PeakDetection$jobstatus3.png
  • After the computation is finished, use e.g. the 'Show TIC' or 'Show 2D' action to review the computed peaks. MeltDB creates Peaks and Observations with the respective area and intensity for all results of the peak detection tool.