View source: R/import_from_polymapR.R
import_data_from_polymapR | R Documentation |
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
)
input.data |
a |
ploidy |
the ploidy level |
parent1 |
a character string containing the name (or pattern of genotype IDs) of parent 1 |
parent2 |
a character string containing the name (or pattern of genotype IDs) of parent 2 |
input.type |
Indicates whether the input is discrete ("disc") or probabilistic ("prob") |
prob.thres |
threshold probability to assign a dosage to offspring. If the probability
is smaller than |
pardose |
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) |
offspring |
a character string containing the name (or pattern of genotype IDs) of the offspring
individuals. If |
filter.non.conforming |
if |
verbose |
if |
See examples at https://rpubs.com/mmollin/tetra_mappoly_vignette.
Marcelo Mollinari mmollin@ncsu.edu
Bourke PM et al: (2019) PolymapR — linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. _Bioinformatics_ 34:3496–3502. \Sexpr[results=rd]{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_. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1534/g3.119.400378")}
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