Difference between revisions of "Metabomatching"

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* the metabolome-genome wide association study in the CoLaus cohort [http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004132 PLoS Genetics 2014, 10(2): e1004132]  
 
* the metabolome-genome wide association study in the CoLaus cohort [http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004132 PLoS Genetics 2014, 10(2): e1004132]  
 
* the metabolome-genome wide association study in the SHIP cohort [http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1005487 PLoS Genet 11(9): e1005487]
 
* the metabolome-genome wide association study in the SHIP cohort [http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1005487 PLoS Genet 11(9): e1005487]
 
For inquiries please contact '''[[User:Sven|Sven Bergmann]]'''.
 
  
  

Revision as of 14:00, 28 October 2016

Metabomatching is a procedure to identify compounds from spectral features that jointly associate with genotypes.

Software

The simplest method to run metabomatching is to use the metabomatching docker image. With a working docker installation (get docker), run

docker pull metabomatching/metabomatching-pre

to download the metabomatching container. The download may take some time, as the container includes a full Linux OS, octave to run metabomatching, and inkscape to convert metabomatching figures from SVG to PDF. To run metabomatching on the included sample pseudospectrum, run

docker run -i -v <absolute path to results directory>:/mm-ps metabomatching/metabomatching-pre

which will run metabomatching, and write results to <absolute path to results directory>. To run metabomatching on your own pseudospectra, please refer to the documentation. For a system running either Matlab or octave, metabomatching can also be obtained from GitHub

https://github.com/rrueedi/metabomatching-pre.git


Examples

The procedure was in applied in


Questions, Comments

contact metabomatching(at)unil(dot)ch