pipeline.detectEnsemblDataset <- function(env)
{
env$preferences$database.dataset <- ""
util.info("Autodetecting annotation parameters")
auto.datasets <-
list("hsapiens_gene_ensembl"=c("affy_hg_u133_plus_2",
"affy_hugene_1_0_st_v1",
"affy_hugene_2_0_st_v1",
"ipi",
"refseq_mrna"),
"mmusculus_gene_ensembl"=c("affy_moe430a",
"affy_mogene_1_0_st_v1",
"affy_mogene_2_1_st_v1",
"illumina_mousewg_6_v2"),
"rnorvegicus_gene_ensembl"=c("affy_rae230a",
"affy_ragene_1_0_st_v1",
"affy_ragene_2_0_st_v1"),
"scerevisiae_gene_ensembl"=c("affy_yg_s98",
"affy_yeast_2"))
auto.rowname.ids <- c("ensembl_gene_id", "entrezgene", "hgnc_symbol")
mart <- useMart(biomart=env$preferences$database.biomart, host=env$preferences$database.host)
for (ds in names(auto.datasets))
{
mart <- useDataset(ds, mart=mart)
for (id in c(auto.datasets[[ds]], auto.rowname.ids))
{
try({
query = c("wikigene_name","hgnc_symbol","uniprot_genename")[ which( c("wikigene_name","hgnc_symbol","uniprot_genename") %in% listAttributes(mart)[,1] ) ][1]
suppressWarnings({ biomart.table <- getBM(c(id, query), id,
rownames(env$indata)[seq(1,nrow(env$indata),length.out=100)],
mart, checkFilters=FALSE) })
if (nrow(biomart.table) > 0)
{
util.info("Detected annotation dataset:", ds)
util.info("Detected annotation filter:", id)
env$preferences$database.dataset <- ds
env$preferences$database.id.type <- id
return(env)
}
}, silent=TRUE)
}
}
return(env)
}
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