wgEncodeTfbsV3: transcription factor binding site clusters (V3) from ENCODE

Description Usage Format Details Source Examples

Description

possible binding pool for human (hg19) from transcription factor binding site clusters (V3) from ENCODE data and removed the HOT spots

Usage

1

Format

An object of GRanges.

Details

How to generate the data:

temp <- tempfile()

download.file(file.path("http://hgdownload.cse.ucsc.edu", "goldenPath",

"hg19", "encodeDCC",

"wgEncodeRegTfbsClustered",

"wgEncodeRegTfbsClusteredV3.bed.gz"), temp)

data <- read.delim(gzfile(temp, "r"), header=FALSE)

unlink(temp)

colnames(data)[1:4] <- c("seqnames", "start", "end", "TF")

wgEncodeRegTfbsClusteredV3 <- GRanges(as.character(data$seqnames),

IRanges(data$start, data$end),

TF=data$TF)

data(HOT.spots)

hot <- reduce(unlist(HOT.spots))

ol <- findOverlaps(wgEncodeRegTfbsClusteredV3, hot)

wgEncodeTfbsV3 <- wgEncodeRegTfbsClusteredV3[-unique(queryHits(ol))]

wgEncodeTfbsV3 <- reduce(wgEncodeTfbsV3)

save(list="wgEncodeTfbsV3",

file="data/wgEncodeTfbsV3.rda",

compress="xz", compression_level=9)

Source

http://hgdownload.cse.ucsc.edu/goldenPath/hg19/encodeDCC/ wgEncodeRegTfbsClustered/wgEncodeRegTfbsClusteredV3.bed.gz

Examples

1
2

LihuaJulieZhu/ChIPpeakAnno documentation built on Aug. 5, 2020, 12:02 a.m.