hapiCVMap: Visualization of crossover map

In Jialab-UCR/Hapi: Inference of Chromosome-length Haplotypes using Genomic Data of Single Gamete Cells

Description

Visualization of crossover map

Usage

hapiCVMap(cv, chr = hg19, step = 5, gap = gap.hg19, x.limits = 6,
  y.breaks = NULL, y.labels = NULL)

Arguments

cv	a dataframe of crossover information
chr	a dataframe of chromosome information, including length, and centrometric regions
step	a numeric value of genomic interval in Mb. Default is 5
gap	a dataframe of unassembled regions with the first column is chromosme, the second column is start position, and third column is the end position of the gap. Default is gap for hg19. If no gap region is provided, use gap=NULL
x.limits	a numeric value of limits on x axis
y.breaks	a vector of positions to show labels on y axis. Default is NULL
y.labels	a vector of labels on the y axis. Default is NULL

Value

a plot of crossover map on all the chromosomes

Author(s)

Ruidong Li

Examples

data(crossover)
## Not run: hapiCVMap(cv=crossover)

Jialab-UCR/Hapi documentation built on May 30, 2019, 11:41 a.m.