Description Usage Arguments Value Examples
View source: R/polyqtlR_functions.R
The function count_recombinations
returns a list of all predicted recombination breakpoints. The output can be passed
using the argument recombination_data
to the function visualiseHaplo
, where the predicted breakpoints overlay the haplotypes.
Alternatively, a genome-wide visualisation of the recombination landscape both per linkage group and per individual can be generated using the function plotRecLS
,
which can be useful in identifying problematic areas of the linkage maps, or problematic individuals in the population. Currently, recombination break-points
are only estimated from bivalents in meiosis; any offspring resulting from a predicted multivalent is excluded from the analysis and will be returned with a NA
value.
1 | count_recombinations(IBD_list, plausible_pairing_prob = 0.4)
|
IBD_list |
List of IBD_probabilities as estimated using one of the various methods available (e.g. |
plausible_pairing_prob |
The minimum probability of a pairing configuration needed to analyse an individual's IBD data.
The default setting of 0.4 is rather low - but accommodates scenarios where e.g. two competing plausible pairing scenarios are possible.
In such situations, both pairing configurations (also termed "valencies") would be expected to have a probability close to 0.5. Both are then considered,
and the output contains the probability of both situations. These can then be used to generate a probabilistic recombination landscape. If a more definite
set of predictions is required, simply increase |
A nested list corresponding to each linkage group. Within each LG, a list with 3 items is returned, specifying the plausible_pairing_prob
, the map
and
the predicted recombinations
in each individual in the mapping population. Per individual, all valencies with a probability greater than
plausible_pairing_prob
are returned, specifying both the Valent_probability
and the best estimate of the cM position of the
recombination_breakpoints
involving pairs of homologues A, B, C etc. (in the order parent 1, parent 2).
If no recombinations are predicted, a NA
value is given instead.
1 2 | data("IBD_4x")
recom.ls <- count_recombinations(IBD_4x)
|
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