ug | R Documentation |
Implements the marker ordering algorithm Unidirectional Growth (Tan & Fu, 2006).
ug( input.seq, LOD = 0, max.rf = 0.5, tol = 1e-04, rm_unlinked = TRUE, size = NULL, overlap = NULL, phase_cores = 1, hmm = TRUE, parallelization.type = "PSOCK", verbose = TRUE )
input.seq |
an object of class |
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. |
rm_unlinked |
When some pair of markers do not follow the linkage criteria,
if |
size |
The center size around which an optimum is to be searched |
overlap |
The desired overlap between batches |
phase_cores |
The number of parallel processes to use when estimating the phase of a marker. (Should be no more than 4) |
hmm |
logical defining if the HMM must be applied to estimate multipoint genetic distances |
parallelization.type |
one of the supported cluster types. This should be either PSOCK (default) or FORK. |
verbose |
A logical, if TRUE it output progress status information. |
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
).
An object of class sequence
, which is a list containing the
following components:
seq.num |
a |
seq.phases |
a |
seq.rf |
a |
seq.like |
log-likelihood of the corresponding linkage map. |
data.name |
object of class |
twopt |
object of class |
Marcelo Mollinari, mmollina@usp.br
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.
make_seq
, map
#outcross example data(onemap_example_out) twopt <- rf_2pts(onemap_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
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