predict6_9_unique: Produce model estimated (p=6, topology=9, unique portion)...

In PauloMoraMartinez/Genomescope2.0_: Reference-free profiling of genomes

Produce model estimated (p=6, topology=9, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.

Description

Produce model estimated (p=6, topology=9, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.

Usage

predict6_9_unique(raaaabb, raaabcc, raabcdd, raabcde, rabcdef, k, d,
  kmercov, bias, x)

Arguments

raaaabb, raaabcc, raabcdd, raabcde, rabcdef	Numerics corresponding to the nucleotide heterozygosities aaaabb, aaabcc, aabcdd, aabcde, and abcdef respectively.
k	An integer corresponding to the kmer length.
d	A numeric corresponding to the repetitiveness.
kmercov	A numeric corresponding to the estimated average kmer coverage of the polyploid genome.
bias	A numeric corresponding to the overdispersion of the negative binomial distribution.
x	An integer vector of the x-coordinates of the histogram (after filtering out low coverage errors and high coverage kmers).

Value

A numeric vector of the model estimated y-coordinates of the kmer spectra.

PauloMoraMartinez/Genomescope2.0_ documentation built on April 5, 2022, 12:02 a.m.