inst/doc/converting_data.R

## -----------------------------------------------------------------------------
library(vcfR)
data(vcfR_example)

## ----write.vcf, eval=FALSE----------------------------------------------------
#  write.vcf(vcf, "test.vcf.gz")
#  unlink("test.vcf.gz") # Clean up after our example is done.

## ----genind, eval=TRUE--------------------------------------------------------
my_genind <- vcfR2genind(vcf)
class(my_genind)
my_genind

## ----genclone, eval=TRUE------------------------------------------------------
my_genclone <- poppr::as.genclone(my_genind)
class(my_genclone)
my_genclone

## ----genlight, eval=TRUE------------------------------------------------------
vcf_file <- system.file("extdata", "pinf_sc50.vcf.gz", package = "pinfsc50")
vcf <- read.vcfR(vcf_file, verbose = FALSE)
x <- vcfR2genlight(vcf)
x

## ----snpclone-----------------------------------------------------------------
library(poppr)
x <- as.snpclone(x)
x

## ----load vcf dna gff---------------------------------------------------------
# Find the files.
vcf_file <- system.file("extdata", "pinf_sc50.vcf.gz", package = "pinfsc50")
dna_file <- system.file("extdata", "pinf_sc50.fasta", package = "pinfsc50")
gff_file <- system.file("extdata", "pinf_sc50.gff", package = "pinfsc50")
# Read in data.
vcf <- read.vcfR(vcf_file, verbose = FALSE)
dna <- ape::read.dna(dna_file, format="fasta")
gff <- read.table(gff_file, sep="\t", quote = "")

## ----vcfR2DNAbin, tidy=TRUE---------------------------------------------------
record <- 130
#my_dnabin1 <- vcfR2DNAbin(vcf, consensus = TRUE, extract.haps = FALSE, gt.split="|", ref.seq=dna[,gff[record,4]:gff[record,5]], start.pos=gff[record,4], verbose=FALSE)
my_dnabin1 <- vcfR2DNAbin(vcf, consensus = TRUE, extract.haps = FALSE, ref.seq=dna[,gff[record,4]:gff[record,5]], start.pos=gff[record,4], verbose=FALSE)
my_dnabin1

## ----image_DNAbin1, fig.align='center', fig.width=7, fig.height=7-------------
par(mar=c(5,8,4,2))
ape::image.DNAbin(my_dnabin1[,ape::seg.sites(my_dnabin1)])
par(mar=c(5,4,4,2))

## ----vcfR2DNAbin_2, tidy=TRUE-------------------------------------------------
#my_dnabin1 <- vcfR2DNAbin(vcf, consensus=FALSE, extract.haps=TRUE, gt.split="|", ref.seq=dna[,gff[record,4]:gff[record,5]], start.pos=gff[record,4], verbose=FALSE)
my_dnabin1 <- vcfR2DNAbin(vcf, consensus=FALSE, extract.haps=TRUE, ref.seq=dna[,gff[record,4]:gff[record,5]], start.pos=gff[record,4], verbose=FALSE)

## ----image_DNAbin_2, fig.align='center', fig.width=7, fig.height=7------------
par(mar=c(5,8,4,2))
ape::image.DNAbin(my_dnabin1[,ape::seg.sites(my_dnabin1)])
par(mar=c(5,4,4,2))

## ---- eval=FALSE--------------------------------------------------------------
#  write.dna( my_dnabin1, file = 'my_gene.fasta', format = 'fasta' )
#  unlink('my_gene.fasta') # Clean up after we're done with the example.

## ----vcfR2loci, eval=FALSE----------------------------------------------------
#  system.time( my_loci <- vcfR2loci(vcf) )
#  class(my_loci)

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vcfR documentation built on Feb. 16, 2023, 8:12 p.m.