GENOME-class: Class "GENOME"

Description

A class where all data and calculated values are stored

Arguments

Slots

BIG.BIAL:: Biallelic matrix as an ff-object
SLIDE.POS:: Positions of biallelic sites (Sliding window mode)
big.data:: ff-package ?
gff.info:: Gff information ?
snp.data:: SNP data ?
basepath:: The basepath of the data
project:: ----
populations:: Populations definded before reading data
poppairs:: ---
outgroup:: A vector of outgroup sequences
region.names:: Names/identifier of each region
feature.names:: Feature attributes of a given region
genelength:: Number of regions
keep.start.pos:: Start positions for sliding window
n.sites:: Total number of sites
n.sites2:: Total number of sites
n.biallelic.sites:: Number of biallelic sites (SNPs)
n.gaps:: Number of gaps observed in the data
n.unknowns:: Number of unknown.positions
n.valid.sites:: Sites without gaps
n.polyallelic.sites:: Sites with more than two variants
trans.transv.ratio:: Transition-transversion ratio
Coding.region:: Number of nucleotides in CDS regions
UTR.region:: Number of nucleotides in UTR regions
Intron.region:: Number of nucleotides in Intron regions
Exon.region:: Number of nucleotides in Exon regions
Gene.region:: Number of nucleotides in Gene regions
Pop_Neutrality:: Populations defined in the neutrality module
Pop_FSTN:: Populations defined in the FST (nucleotide) module
Pop_FSTH:: Populations defined in the FST (haplotype) module
Pop_Linkage:: Populations defined in the Linkage module
Pop_Slide:: ---
Pop_MK:: Populations defined in the MK module
Pop_Detail:: Populations defined in the Detail module
Pop_Recomb:: Populations defined in the Recombination module
Pop_Sweeps:: Populations defined in the Selective sweeps module
FSTNLISTE:: ---
nucleotide.F_ST:: Nucleotide FST
nucleotide.F_ST2:: ---
nuc.diversity.between:: Nucleotide diversity between the populations
nuc.diversity.within:: Nucleotide diversity within the populations
nuc.F_ST.pairwise:: FST for each pair of populations
nuc.F_ST.vs.all:: FST for one population vs. all other individuals
n.haplotypes:: ---
hap.diversity.within:: Haplotype diversity withing the populations
hap.diversity.between:: Haplotype diversity between the populations
Pi:: Pi from Nei
PIA_nei:: Pi between the populations
haplotype.counts:: Counts of the haplotypes observed
haplotype.F_ST:: Haplotype FST
hap.F_ST.pairwise:: Haplotype diversity for each pair of populations
Nei.G_ST.pairwise:: Haplotype diversity for each pair of populations
hap.F_ST.vs.all:: FST for one population vs. all other individuals
Nei.G_ST:: GST from Nei
Hudson.G_ST:: GST from Hudson
Hudson.H_ST:: HST from Hudson
Hudson.K_ST:: KST from Hudson
Hudson.Snn:: Snn from Hudson
Phi_ST:: Fixation index from Excoffier
hap.pair.F_ST:: ---
MKT:: Mcdonald-Kreitman values
Tajima.D:: Tajima's D
SLIDE:: ---
Fay.Wu.H:
Zeng.E:
theta_Tajima:
theta_Watterson:
theta_Fu.Li:
theta_Achaz.Watterson:
theta_Achaz.Tajima:
theta_Fay.Wu:
theta_Zeng:
Fu.Li.F:
Fu.Li.D:
Yach:
n.segregating.sites:: Total number of segregating sites
Rozas.R_2:
Fu.F_S:
Strobeck.S:
Kelly.Z_nS:
Rozas.ZZ:
Rozas.ZA:
Wall.B:
Wall.Q:
mult.Linkage:: Linkage disequilibrium between regions
RM:: Minimum number of recombination events (Hudson)
CL:: Composite likelihood of SNPs (Nielsen et. al)
CLmax:: Max. composite likelihood of SNPs (Nielsen et.al)
CLR:: Composite likelihood ratio test (Nielsen et. al)
MDSD:
MDG1:
MDG2:
genes:
region.data:: Detailed information about the data
region.stats:: Detailed (site-specific) statistics
D: Pattersons D statistic
f: the fraction of the genome that is admixed
jack.knife: jacknife mode
missing.freqs:: Missing nucleotide frequency

Methods

detail.stats: Several misc. statistics
diversity.stats: Haplotype and nucleotide diversities
F_ST.stats.2: Snn from Hudson
F_ST.stats: Fixation index
getBayes: Get the input for BayeScanR
get.detail: Get the results from the Detail module
get.codons: Get information about the nature of codon changes
get.diversity: Get diversities from the FST module
get.F_ST: Get FST values from the FST module
get.linkage: Get the values from the Linkage module
get.MKT: Get Mcdonald-Kreitman values
getMS: ---
get.neutrality: Get the values from the Neutrality module
get.status: Status of calculations
get.sum.data: Get some data observed from the alignments
linkage.stats: Linkage disequilibrium
calc.R2: Linkage disequilibrium
mult.linkage.stats: Linkage disequilibrium between regions
recomb.stats: Recombination statistics
sweeps.stats: Selective sweeps
Achaz.stats: Achaz's statistics
get.recomb: Get the values from the Recombination module
get.sweeps: Get the values frome the Selective Sweep module
set.ref.positions: Set the SNP positions
set.synnonsyn: Verify synonymous positions
splitting.data: Split the data into subsites
MKT: MKT Test
neutrality.stats: Neutrality statistics
popFSTN: Internal function
get.biallelic.matrix: Print the biallelic.matrix
set.populations: Define the populations
set.outgroup: Define the outgroup
get.individuals: get the names/IDs of individuals
region.as.fasta: Extract the region as a fasta file
show: ---
show.slots: Show slots of the class GENOME
sliding.window.transform: Transform a GENOME object into a new object suitable for sliding window analysis
usage: ---
PG_plot.biallelic.matrix: Plot the biallelic matrix
introgression.stats: Methods to measure archaic admixture
count.unknowns: Calculates the frequencies of missing nucleotides

References

See the documentation for each module

Examples

Run this code

#GENOME.class <- readData("Alignments")
#GENOME.class@n.sites
#GENOME.class@region.names

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