require(recountmethylation)
# get datasets info
dn <- RCurl::getURL("https://recount.bio/data/",
.opts = list(ssl.verifypeer = FALSE))
sm <- servermatrix(dn)
smfn <- sm[,1]
tsnum <- as.numeric(gsub(".*\\_|\\..*", "", smfn), smfn)
tsfilt <- which(tsnum == max(tsnum, na.rm = TRUE))
smf <- sm[tsfilt,]
smf1 <- smf[,1]
# get field info
linfo <- list()
# version 0.0.1
linfo[["h5se_gr"]] <- list(fn = "remethdb-h5se_gr_0-0-1_1590090412",
info = "h5se, GenomicRatioSet, noob-normalized, version 0.0.1")
linfo[["h5se_gm"]] <- list(fn = "remethdb-h5se_gm_0-0-1_1590090412",
info = "h5se, MethylSet, raw/unnormalized, version 0.0.1")
linfo[["h5se_rg"]] <- list(fn = "remethdb_h5se-rg_0-0-1_1590090412",
info = "h5se, RGChannelSet, raw/unnormalized, version 0.0.1")
linfo[["h5se_gr-test"]] <- list(fn = "remethdb-h5se_gr-test_0-0-1_159009041",
info = "h5se, GenomicRatioSet, noob-normalized, version 0.0.1")
linfo[["h5_rg"]] <- list(fn = "remethdb-h5_rg_0-0-1_1590090412.h5",
info = "h5, red and green signal, raw/unnormalized, version 0.0.1")
linfo[["h5_rg-test"]] <- list(fn = "remethdb-h5_rg-test_0-0-1_1590090412.h5",
info = "h5, red and green signal, raw/unnormalized, version 0.0.1")
# version 0.0.2
linfo[["h5se-gr_hm450k"]] <- list(fn = "remethdb_h5se-gr_hm450k_0-0-2_1607018051",
info = "h5se, HM450K platform samples, GenomicRatioSet,
noob-normalized, version 0.0.2")
linfo[["h5se-gm_hm450k"]] <- list(fn = "remethdb_h5se-gm_hm450k_0-0-2_1607018051",
info = "h5se, HM450K platform samples, MethylSet,
raw/unnormalized, version 0.0.2")
linfo[["h5se-rg_hm450k"]] <- list(fn = "remethdb_h5se-rg_hm450k_0-0-2_1607018051",
info = "h5se, HM450K platform samples, RGChannelSet,
raw/unnormalized, version 0.0.2")
linfo[["h5-rg_hm450k"]] <- list(fn = "remethdb_h5-rg_hm450k_0-0-2_1607018051.h5",
info = "h5, HM450K platform samples, red and green signal,
raw/unnormalized, version 0.0.2")
linfo[["h5se-gr_epic"]] <- list(fn = "remethdb_h5se-gr_epic_0-0-2_1607018051",
info = "h5se, EPIC/HM850K platform samples,
GenomicRatioSet, noob-normalized, version 0.0.2")
linfo[["h5se-gm_epic"]] <- list(fn = "remethdb_h5se-gm_epic_0-0-2_1589820348",
info = "h5se, EPIC/HM850K platform samples,
MethylSet, raw/unnormalized, version 0.0.2")
linfo[["h5se-rg_epic"]] <- list(fn = "remethdb_h5se-rg_epic_0-0-2_1589820348",
info = "h5se, EPIC/HM850K platform samples,
RGChannelSet, raw/unnormalized, version 0.0.2")
linfo[["h5-rg_epic"]] <- list(fn = "remethdb_h5-rg_epic_0-0-2_1589820348.h5 ",
info = "h5, EPIC/HM850K platform samples,
red and green signal, raw/unnormalized, version 0.0.2")
ndb <- length(linfo);tagsv <- rep("", ndb);biocv <- BiocManager::version()
dsclass<-rep("FilePath",ndb);locprefix<-rep("https://recount.bio/data/",ndb)
version<-"0.0.2";gbld<-"hg19";stype<-"HDF5";coordb<-"NA";dprov<-"GEO/GDS"
surl<-"http://www.ncbi.nlm.nih.gov/geo/query/";spp<-"Homo sapiens"
taxid<-"9606";svers <- "Nov 7 2020";maint <- maintainer("recountmethylation")
rdclass <- ifelse(grepl("h5se", names(linfo)), "HDF5-SummarizedExperiment",
"HDF5Database")
rdpath <- as.character(unlist(lapply(linfo, function(x){x$fn})))
meta <- data.frame(Title = as.character(unlist(lapply(linfo, function(x){x$fn}))),
Description = as.character(unlist(lapply(linfo, function(x){x$info}))),
BiocVersion = rep(biocv, ndb),
Genome = rep(gbld, ndb),
SourceType = rep(stype, ndb),
SourceUrl = rep(surl, ndb),
SourceVersion = rep(svers, ndb),
Species = rep(spp, ndb),
TaxonomyId = rep(taxid, ndb),
Coordinate_1_based = rep(coordb, ndb),
DataProvider = rep(dprov, ndb),
Maintainer = rep(maint, ndb),
RDataClass = rdclass,
DispatchClass = dsclass,
Location_Prefix = locprefix,
RDataPath = rdpath,
Tags = tagsv,
Version = rep(version, ndb),
stringsAsFactors = FALSE)
write.csv(meta, file="inst/extdata/metadata.csv", row.names=FALSE)
write.csv(meta, file="metadata.csv", row.names=FALSE)
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