PopGenome (version 2.7.5)

readSNP: Read data in .SNP format

Description

This function reads data in .SNP (quality_variant) format, as distributed by the 1001 Genomes project (Arabidopsis).

Usage

readSNP(folder,populations=FALSE,outgroup=FALSE,gffpath=FALSE,
	CHR=FALSE,ref.chr=FALSE,snp.window.size=FALSE,
	parallized=FALSE,ffpackagebool=TRUE,
	include.unknown=FALSE
	)

Arguments

folder

the basepath of the variant_calls

outgroup

vector of outgroup sequences

populations

list of populations

gffpath

the corresponding GFF file

CHR

which chromosome ?, default: all chromosomes

ref.chr

reference chromosome (to classify synonymous/non-synonymous positions)

snp.window.size

scan SNP chunks

parallized

multicore computation

ffpackagebool

use the ff-package to save memory space. (slower)

include.unknown

include positions with unknown nucleotides

Value

The function creates an object of class "GENOME" --------------------------------------------------------- Following Slots will be filled in the "GENOME" object ---------------------------------------------------------

	Slot	Description
1.	n.sites	total number of sites
2.	n.biallelic.sites	number of biallelic sites
3.	region.data	some detailed information about the data read
4.	region.names	names of regions

Details

The ff-package we use to store the SNP information limits the data size to individuals * (number of SNPs) <= .Machine$integer.max The text files containing the SNP information of each individual have to be stored in one folder. The slots transitions, biallelic.sites, and biallelic.substitutions of the class "regions.data" will be filled. At this time, if a GFF/GTF is used the data should be organized in a way that the "CHR" is a numerical value. The prefix "Chr" or "chr" is also supported.

Examples

# NOT RUN {
# GENOME.class <- readSNP("...\SNPData")
# GENOME.class <- readSNP("...\SNPData", CHR=1)
# GENOME.class <- readSNP("...\SNPData", CHR=1, gffpath="Gff_file.gff")
# GENOME.class
# GENOME.class <- neutrality.stats(GENOME.class,FAST=TRUE)
# show the result:
# get.sum.data(GENOME.class)
# [e-mail]

# }