mqmplot.cistrans | R Documentation |
Plot results for a genomescan using a multiple-QTL model. With genetic location for the traits it is possible to show cis- and trans- locations, and detect trans-bands
mqmplot.cistrans(result, cross, threshold=5, onlyPEAK=TRUE,
highPEAK=FALSE, cisarea=10, pch=22, cex=0.5,
verbose=FALSE, ...)
result |
An object of class |
cross |
An object of class |
threshold |
Threshold value in LOD, Markers that have a
LOD score above this threshold are plotted as small squares
(see |
onlyPEAK |
Plot only the peak markers ? (TRUE/FALSE)
(Peak markers are markers that have a QTL likelihood above
|
highPEAK |
Highlight peak markers ? (TRUE/FALSE). When using this option peak markers (the marker with the highest LOD score in a region above the threshold gets an 25% increase in size and is displayed in red) |
cisarea |
Adjust the two green lines around the line y=x |
pch |
What kind of character is used in plotting of the figure (Default: 22, small square) |
cex |
Size of the points plotted (default to 0.5 half of the original size) |
verbose |
If TRUE, give verbose output |
... |
Extra parameters will be passed to points |
Plotting routine, so no return
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
data(multitrait)
data(locations)
multiloc <- addloctocross(multitrait,locations)
multiloc <- calc.genoprob(multiloc)
results <- scanall(multiloc, method="hk")
mqmplot.cistrans(results, multiloc, 5, FALSE, TRUE)
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