view test-data/faahKO-single.xset.merged.group.retcor.group.fillpeaks.summary.html @ 23:08f5203ef8c1 draft

planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 8ed93601e09e1db2fbaef5af29d58464b639f2a8
author lecorguille
date Tue, 09 Apr 2019 12:24:11 -0400
parents 97ca0321931b
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<div><h1>___ XCMS analysis summary using Workflow4Metabolomics ___</h1>
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<h2>Samples used:</h2>
<div><table>
<tr><th>sample</th><th>filename</th><th>md5sum<sup>*</sup></th></tr>
<tr><td>ko15</td><td>ko15.CDF</td><td>4698c36c0b3af007faf70975c04ccf2a</td></tr><tr><td>ko16</td><td>ko16.CDF</td><td>afaeed94ced3140bc042d5ab6aeb16c1</td></tr><tr><td>wt15</td><td>wt15.CDF</td><td>d58a27fad7c04ddddb0359ddc2b7ba68</td></tr><tr><td>wt16</td><td>wt16.CDF</td><td>29654e9f8ad48c1fbe2a41b9ba578f6e</td></tr>
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<br/><sup>*</sup>The program md5sum is designed to verify data integrity. So you can check if the data were uploaded correctly or if the data were changed during the process.
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<h2>Function launched:</h2>
<div><table>
<tr><th>timestamp<sup>***</sup></th><th>function</th><th>argument</th><th>value</th></tr>
<tr><td>Wed Feb  7 11:15:25 2018</td><td>Peak detection</td><td colspan='2'><pre>
Object of class:  CentWaveParam 
Parameters:
 ppm: 25 
 peakwidth: 20, 50 
 snthresh: 10 
 prefilter: 3, 100 
 mzCenterFun: wMean 
 integrate: 1 
 mzdiff: -0.001 
 fitgauss: FALSE 
 noise: 0 
 verboseColumns: FALSE 
 roiList length: 0 
 firstBaselineCheck TRUE 
 roiScales length: 0 
</pre></td></tr>
<tr><td>Mon Feb 12 15:31:11 2018</td><td>Peak grouping</td><td colspan='2'><pre>
Object of class:  PeakDensityParam 
Parameters:
 sampleGroups: character of length 4 
 bw: 30 
 minFraction: 0.8 
 minSamples: 1 
 binSize: 0.25 
 maxFeatures: 50 
</pre></td></tr>
<tr><td>Mon Feb 12 15:31:19 2018</td><td>Retention time correction</td><td colspan='2'><pre>
Object of class:  PeakGroupsParam 
Parameters:
 minFraction: 0.85 
 extraPeaks: 1 
 smooth: loess 
 span: 0.2 
 family: gaussian 
 number of peak groups: 125 
</pre></td></tr>
<tr><td>Mon Feb 12 15:31:27 2018</td><td>Peak grouping</td><td colspan='2'><pre>
Object of class:  PeakDensityParam 
Parameters:
 sampleGroups: character of length 4 
 bw: 20 
 minFraction: 0.4 
 minSamples: 1 
 binSize: 0.25 
 maxFeatures: 50 
</pre></td></tr>
<tr><td>Wed Feb 14 09:55:13 2018</td><td>Missing peak filling</td><td colspan='2'><pre>
Object of class:  FillChromPeaksParam 
Parameters:
 expandMz: 0 
 expandRt: 0 
 ppm: 0 
</pre></td></tr>
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<br/><sup>***</sup>timestamp format: DD MM dd hh:mm:ss YYYY or yymmdd-hh:mm:ss
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<h2>Informations about the XCMSnExp object:</h2>
<div><pre>
MSn experiment data ("XCMSnExp")
Object size in memory: 1.41 Mb
- - - Spectra data - - -
 MS level(s): 1 
 Number of spectra: 5112 
 MSn retention times: 41:33 - 75:0 minutes
- - - Processing information - - -
Concatenated [Thu Feb  8 15:36:09 2018] 
 MSnbase version: 2.4.2 
- - - Meta data  - - -
phenoData
  rowNames: ./ko15.CDF ./ko16.CDF ./wt15.CDF ./wt16.CDF
  varLabels: sample_name sample_group
  varMetadata: labelDescription
Loaded from:
  [1] ko15.CDF...  [4] wt16.CDF
  Use 'fileNames(.)' to see all files.
protocolData: none
featureData
  featureNames: F1.S0001 F1.S0002 ... F4.S1278 (5112 total)
  fvarLabels: fileIdx spIdx ... spectrum (27 total)
  fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
- - - xcms preprocessing - - -
Chromatographic peak detection:
 method: centWave 
 15230 peaks identified in 4 samples.
 On average 3808 chromatographic peaks per sample.
Alignment/retention time adjustment:
 method: peak groups 
Correspondence:
 method: chromatographic peak density 
 6332 features identified.
 Median mz range of features: 0
 Median rt range of features: 0
 5979 filled peaks (on average 1494.75 per sample).
</pre></div>
<h2>Informations about the xcmsSet object:</h2>
<div><pre>
An "xcmsSet" object with 4 samples

Time range: 2499.4-4473.6 seconds (41.7-74.6 minutes)
Mass range: 200.1-600 m/z
Peaks: 15230 (about 3808 per sample)
Peak Groups: 6332 
Sample classes: KO, WT 

Feature detection:
 o Peak picking performed on MS1.
 o Scan range limited to  1 - 1278 
Profile settings: method = bin
                  step = 0.1

Memory usage: 3.11 MB
</pre></div>
<h2>Citations:</h2>
<div><ul>
<li>To cite the <b>XCMS</b> package in publications use:
<ul>
<li>Smith, C.A. and Want, E.J. and O'Maille, G. and Abagyan,R. and Siuzdak, G.XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching and identification, Analytical Chemistry, 78:779-787 (2006)</li>
<li>Ralf Tautenhahn, Christoph Boettcher, Steffen Neumann: Highly sensitive feature detection for high resolution LC/MS BMC Bioinformatics, 9:504 (2008)</li>
<li>H. Paul Benton, Elizabeth J. Want and Timothy M. D. Ebbels Correction of mass calibration gaps in liquid chromatography-mass spectrometry metabolomics data Bioinformatics, 26:2488 (2010)</li>
</ul>
</li>
<li>To cite the <b>CAMERA</b> package in publications use:
<ul>
<li>Kuhl, C., Tautenhahn, R., Boettcher, C., Larson, T. R. and Neumann,S. CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets. Analytical Chemistry, 84:283-289 (2012)</li>
</ul>
</li>
<li>To cite the <b>Workflow4Metabolimics (W4M)</b> project in publications use:
<ul>
<li>Franck Giacomoni, Gildas Le Corguillé, Misharl Monsoor, Marion Landi, Pierre Pericard, Mélanie Pétéra, Christophe Duperier, Marie Tremblay-Franco, Jean-François Martin, Daniel Jacob, Sophie Goulitquer, Etienne A. Thévenot and Christophe Caron (2014). Workflow4Metabolomics: A collaborative research infrastructure for computational metabolomics. Bioinformatics  doi:10.1093/bioinformatics/btu813</li>
</ul>
</li>
</ul></div>
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