bayesint


    data.frame: four columns with SNP ID, Chr, position, and LOD in each column.
  


    character: the chromosome on which the QTL lies.
  

prob


    boolean: if TRUE, expand the QTL interval to the nearest flanking markers.  Default = TRUE.
  

expandtomarkers


  This function normalizes the area under the QTL curve on the given chromosome and finds a region that is 95


 QTL 

DOQTL is a quantitative trait locus (QTL) mapping pipeline designed for Diversity Outbred mice and other multi-parent outbred populations. The package reads in data from genotyping arrays and perform haplotype reconstruction using a hidden Markov model (HMM). The haplotype probabilities from the HMM are then used to perform linkage mapping. When founder sequences are available, DOQTL can use the haplotype reconstructions to impute the founder sequences onto DO genomes and perform association mapping.

Daniel Gatti

DOQTL

Genotyping and QTL Mapping in DO Mice

bayesint function

data.frame: four columns with SNP ID, Chr, position, and LOD in each column.

character: the chromosome on which the QTL lies.

boolean: if TRUE, expand the QTL interval to the nearest flanking markers.  Default = TRUE.

This function normalizes the area under the QTL curve on the given chromosome and finds a region that is 95

bayesint: Find a Bayesian Credible Interval around a QTL.

Description

Usage

Arguments

Value

References

See Also

Examples