Function to import datasets from polymapR.
import_data_from_polymapR(
input.data,
ploidy,
parent1 = "P1",
parent2 = "P2",
input.type = c("discrete", "probabilistic"),
prob.thres = 0.95,
pardose = NULL,
offspring = NULL,
filter.non.conforming = TRUE,
verbose = TRUE
)a polymapR dataset
the ploidy level
a character string containing the name (or pattern of genotype IDs) of parent 1
a character string containing the name (or pattern of genotype IDs) of parent 2
Indicates whether the input is discrete ("disc") or probabilistic ("prob")
threshold probability to assign a dosage to offspring. If the probability
is smaller than thresh.parent.geno, the data point is converted to 'NA'.
matrix of dimensions (n.mrk x 3) containing the name of the markers in the first column, and the dosage of parents 1 and 2 in columns 2 and 3. (see polymapR vignette)
a character string containing the name (or pattern of genotype IDs) of the offspring
individuals. If NULL (default) it considers all individuals as offsprings, except
parent1 and parent2.
if TRUE exclude samples with non
expected genotypes under no double reduction. Since markers were already filtered in polymapR, the default is
FALSE.
if TRUE (default), the current progress is shown; if
FALSE, no output is produced
Marcelo Mollinari mmollin@ncsu.edu
See examples at https://rpubs.com/mmollin/tetra_mappoly_vignette.
Bourke PM et al: (2019) PolymapR — linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. _Bioinformatics_ 34:3496–3502. tools:::Rd_expr_doi("10.1093/bioinformatics/bty1002")
Mollinari, M., and Garcia, A. A. F. (2019) Linkage analysis and haplotype phasing in experimental autopolyploid populations with high ploidy level using hidden Markov models, _G3: Genes, Genomes, Genetics_. tools:::Rd_expr_doi("10.1534/g3.119.400378")