QTLDetection {mppSim} | R Documentation |
Function to perform QTL detection using four types of models: cross-specific, parental, ancestral and bi-allelic. The function save the results of the QTL detection processes in a specified folder and return the detected QTLs.
QTLDetection( mppData, thre_cr, thre_par, thre_anc, thre_biall, win.cof = 50, win.QTL = 30, folder, Rep_id, n.cores = 1 )
mppData |
|
thre_cr |
Significance thresold for the cross-specific model. |
thre_par |
Significance threshold for the parental model. |
thre_anc |
Significance threshold for the ancestral model. |
thre_biall |
Significance threshold for the bi-allelic model. |
win.cof |
Minimum distance between two cofactors. Default = 50. |
win.QTL |
Minimum distance between two selected QTLs. Default = 30. |
folder |
Folder location where the results are saved. |
Rep_id |
Identifier for the specific replication. |
n.cores |
number of cores to use for parallelization. Default = 1 |
list with the QTLs detected with the four models.
Vincent Garin