QTLDetection2: QTL detection

In vincentgarin/mppSim: Functions for simulation in MPP

QTL detection

Description

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.

Usage

QTLDetection2(
  mppData,
  thre_cr,
  thre_par,
  thre_anc,
  thre_biall,
  win.cof = 50,
  win.QTL = 30,
  folder,
  Rep_id,
  n.cores = 1
)

Arguments

mppData	mppData object
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

Value

list with the QTLs detected with the four models.

Author(s)

Vincent Garin

vincentgarin/mppSim documentation built on Oct. 11, 2024, 3:18 p.m.