insideCnvs: Returns a vector of T/F depending on whether SNPs are in CNV...

In JEFworks/badger: Bayesian approach for detecting copy number alterations from single cell RNA-seq data

Description

Returns a vector of T/F depending on whether SNPs are in CNV regions

Usage

insideCnvs(posList, cnvs)

Arguments

posList	Dataframe ($chr / $pos)
cnvs	Dataframe ($chr / $start / $end)

Value

a T/F vector of whether the positions are in the CNVs

Examples

snpList <- data.frame(
    'chr' = c('chr1', 'chr1', 'chr1', 'chr2', 'chr2', 'chr3'),
    'pos' = c(7, 100, 101, 0, 10, 5)
    )
cnv <- data.frame(
    'chr' = c('chr1', 'chr2', 'chr3'),
    'startPos' = c(5, 0, 1),
    'endPos' = c(100, 20000, 2)
    )
insideCnvs(snpList, cnv)

JEFworks/badger documentation built on May 7, 2019, 7:40 a.m.