1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51
|
\name{mqmextractmarkers}
\alias{mqmextractmarkers}
\title{MQM marker extraction}
\description{
Extract the real markers from a cross object that includes pseudo markers
}
\usage{
mqmextractmarkers(mqmresult)
}
\arguments{
\item{mqmresult}{result from \code{mqmscan}, including pseudo markers}
}
\value{
Returns a scanone object with the pseudo markers removed
}
\author{
Ritsert C Jansen; Danny Arends; Pjotr Prins; Karl W Broman \email{broman@wisc.edu} % \mqmauthors
}
\seealso{
\itemize{
% \input{"inst/doc/Sources/MQM/mqm/standard_seealso.txt"}
\item The MQM tutorial: \url{http://rqtl.org/tutorials/MQM-tour.pdf}
\item \code{\link{MQM}} - MQM description and references
\item \code{\link{mqmscan}} - Main MQM single trait analysis
\item \code{\link{mqmscanall}} - Parallellized traits analysis
\item \code{\link{mqmaugment}} - Augmentation routine for estimating missing data
\item \code{\link{mqmautocofactors}} - Set cofactors using marker density
\item \code{\link{mqmsetcofactors}} - Set cofactors at fixed locations
\item \code{\link{mqmpermutation}} - Estimate significance levels
\item \code{\link{scanone}} - Single QTL scanning
% -----^^ inst/doc/Sources/MQM/mqm/standard_seealso.txt ^^-----
}
}
\examples{
data(multitrait)
multitrait <- fill.geno(multitrait)
result <- mqmscan(multitrait)
newresult <- mqmextractmarkers(result)
}
\keyword{utilities}
|