tetra.solcap.geno.dist {mappoly} | R Documentation |
Autotetraploid potato dataset with genotype probabilities.
Description
A dataset of the B2721 population which derived from a cross between
two tetraploid potato varieties: Atlantic × B1829-5. The population comprises 160
offsprings genotyped with the SolCAP Infinium 8303 potato array. The original data
set can be found in [The Solanaceae Coordinated Agricultural Project (SolCAP) webpage](http://solcap.msu.edu/potato_infinium.shtml)
The dataset also contains the genomic order of the SNPs from the Solanum
tuberosum genome version 4.03. The genotype calling was performed using the
fitPoly R package. Although this dataset contains the
probability distribution of the genotypes,
it is essentially the same dataset found in tetra.solcap
Usage
tetra.solcap.geno.dist
Format
An object of class mappoly.data
which contains a
list with the following components:
- ploidy
ploidy level = 4
- n.ind
number individuals = 160
- n.mrk
total number of markers = 4017
- ind.names
the names of the individuals
- mrk.names
the names of the markers
- dosage.p1
a vector containing the dosage in parent P for all
n.mrk
markers- dosage.p2
a vector containing the dosage in parent Q for all
n.mrk
markers- chrom
a vector indicating which sequence each marker belongs. Zero indicates that the marker was not assigned to any sequence
- genome.pos
Physical position of the markers into the sequence
- prob.thres = 0.95
probability threshold to associate a marker call to a dosage. Markers with maximum genotype probability smaller than 'prob.thres' are considered as missing data for the dosage calling purposes
- geno
a data.frame containing the probability distribution for each combination of marker and offspring. The first two columns represent the marker and the offspring, respectively. The remaining elements represent the probability associated to each one of the possible dosages
- geno.dose
a matrix containing the dosage for each markers (rows) for each individual (columns). Missing data are represented by
ploidy_level + 1 = 5
- n.phen
There are no phenotypes in this simulation
- phen
There are no phenotypes in this simulation