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onemap (version 2.1.1)

ug: Unidirectional Growth

Description

Implements the marker ordering algorithm Unidirectional Growth (Tan & Fu, 2006).

Usage

ug(input.seq, LOD = 0, max.rf = 0.5, tol = 1e-04)

Arguments

input.seq

an object of class sequence.

LOD

minimum LOD-Score threshold used when constructing the pairwise recombination fraction matrix.

max.rf

maximum recombination fraction threshold used as the LOD value above.

tol

tolerance for the C routine, i.e., the value used to evaluate convergence.

Value

An object of class sequence, which is a list containing the following components:

seq.num

a vector containing the (ordered) indices of markers in the sequence, according to the input file.

seq.phases

a vector with the linkage phases between markers in the sequence, in corresponding positions. -1 means taht there are no defined linkage phases.

seq.rf

a vector with the recombination frequencies between markers in the sequence. -1 means that there are no estimated recombination frequencies.

seq.like

log-likelihood of the corresponding linkage map.

data.name

name of the object of class onemap with the raw data.

twopt

name of the object of class rf_2pts with the 2-point analyses.

Details

Unidirectional Growth (UG) is an algorithm for marker ordering in linkage groups. It is not an exhaustive search method and, therefore, is not computationally intensive. However, it does not guarantee that the best order is always found. The only requirement is a matrix with recombination fractions between markers.

After determining the order with UG, the final map is constructed using the multipoint approach (function map).

References

Mollinari, M., Margarido, G. R. A., Vencovsky, R. and Garcia, A. A. F. (2009) Evaluation of algorithms used to order markers on genetics maps. Heredity 103: 494-502.

Tan, Y. and Fu, Y. (2006) A novel method for estimating linkage maps. Genetics 173: 2383-2390.

See Also

make_seq, map

Examples

Run this code
# NOT RUN {
# }
# NOT RUN {
  #outcross example
  data(example_out)
  twopt <- rf_2pts(example_out)
  all_mark <- make_seq(twopt,"all")
  groups <- group(all_mark)
  LG1 <- make_seq(groups,1)
  LG1.ug <- ug(LG1)

  #F2 example
  data(mapmaker_example_f2)
  twopt <- rf_2pts(mapmaker_example_f2)
  all_mark <- make_seq(twopt,"all")
  groups <- group(all_mark)
  LG1 <- make_seq(groups,1)
  LG1.ug <- ug(LG1)
  LG1.ug
# }
# NOT RUN {
# }

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