Nothing
mergeCIstates = function(gr, ermaset = NULL, epig, genome="hg19", importFull=FALSE, useErma=TRUE, stateGR=NULL) {
#
# label each range in a GenomicRanges with the chromatin state
# for a selected epigenome
#
if (!useErma) stop("only set up for erma; planning AnnotationHub for 2016")
if (is.null(stateGR)) {
cd = colData(ermaset)
ind = match(epig, cd$Epigenome.Mnemonic)
fn = files(ermaset)[ind]
if (importFull) st = import(fn, genome=genome)
else st = import(fn, which=gr, genome=genome)
}
else st = stateGR
ov = findOverlaps(gr, st)
gr$fullStates[queryHits(ov)] = st$name[subjectHits(ov)]
abbCIstates = get(load(system.file("data/abbCIstates.rda", package="erma")))
abbCIcols = get(load(system.file("data/abbCIcols.rda", package="erma")))
stlev = c("Het", "DNAse", "Enh", "Prom", "Quies", "ReprPC", "Tss", "Tx",
"ZNF/Rp")
gr$states = factor(abbCIstates[gr$fullStates], levels=stlev)
gr$statecols = abbCIcols[gr$states]
gr
}
mergeGWhits = function(gr, gwcat, use=c("both", "addr", "name")[1],
grSnpField="SNP") {
stopifnot(genome(gr)[1] == genome(gwcat)[1])
# idea is to put a string with gwas hit phenotype in gwcat on coincident loci in gr
if ("isGwasHit" %in% names(mcols(gr))) warning("will overwrite mcols field 'isGwasHit'")
gr$isGwasHit = 0
if (use == "both" | use == "addr") {
fo = findOverlaps(gr, gwcat)
gr$isGwasHit[queryHits(fo)] = 1
}
if (use == "both" | use == "name") {
m = na.omit(match(mcols(gr)[[grSnpField]], gwcat$SNPS))
gr$isGwasHit[m] = 1
}
gr
}
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