Plot LOD curves of a multiple-QTL model
Plot the LOD curve for a genome scan for a single trait, with a multiple-QTL model (the
output of mqmscan).
mqmplot.singletrait(result, extended = 0 ,...)
result |
|
extended |
Extended plotting of the information content |
... |
Extra arguments passed to |
Danny Arends danny.arends@gmail.com
The MQM tutorial: https://rqtl.org/tutorials/MQM-tour.pdf
MQM - MQM description and references
mqmscan - Main MQM single trait analysis
mqmscanall - Parallellized traits analysis
mqmaugment - Augmentation routine for estimating missing data
mqmautocofactors - Set cofactors using marker density
mqmsetcofactors - Set cofactors at fixed locations
mqmpermutation - Estimate significance levels
scanone - Single QTL scanning
#Simulated F2 Population f2qtl <- c(3,15,1,0) # QTL at chromosome 3 data(map10) # Mouse genetic map f2cross <- sim.cross(map10,f2qtl,n=100,type="f2") # Simulate a F2 Cross f2cross <- mqmaugment(f2cross) f2result <- mqmscan(f2cross) # Do a MQM scan of the genome mqmplot.singletrait(f2result) # Use our fancy plotting routine
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