View source: R/overlapping_batches.R
map_overlapping_batches | R Documentation |
Apply the batch mapping algorithm using overlapping windows.
map_overlapping_batches( input.seq, size = 50, overlap = 15, phase_cores = 1, verbose = FALSE, seeds = NULL, tol = 1e-04, rm_unlinked = TRUE, max.gap = FALSE, parallelization.type = "PSOCK" )
input.seq |
an object of class |
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) |
verbose |
A logical, if TRUE its output progress status information. |
seeds |
A vector of phase information used as seeds for the first batch |
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 |
max.gap |
the marker will be removed if it have gaps higher than this defined threshold in both sides |
parallelization.type |
one of the supported cluster types. This should be either PSOCK (default) or FORK. |
This algorithm implements the overlapping batch maps for high density marker sets. The mapping problem is reduced to a number of subsets (batches) which carry information forward in order to more accurately estimate recombination fractions and phasing. It is a adapted version of map.overlapping.batches function of BatchMap package. The main differences are that this onemap version do not have the option to reorder the markers according to ripple algorithm and, if the it finds markers that do not reach the linkage criterias, the algorithm remove the problematic marker and repeat the analysis. Than, the output map can have few markers compared with the input.seq.
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 |
name of the object of class |
twopt |
name of the object of class |
pick_batch_sizes
, map
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