query_id = deepblue_select_experiments(
experiment_name="S00VEQA1.hypo_meth.bs_call.GRCh38.20150707.bed")
filtered_query_id = deepblue_filter_regions(
query_id = query_id,
field = "AVG_METHYL_LEVEL",
operation = "<",
value = "0.0025",
type="number")
rg_10kb_tilling = deepblue_tiling_regions(
size = 1000,
genome = "hg19")
# We could have included more Epigenetic Marks here
epigenetic_marks <- c("h3k27ac", "H3K27me3", "H3K4me3")
histones_datasets = c()
for (i in 1:length(epigenetic_marks)) {
experiments_list <- deepblue_list_experiments(
epigenetic_mark=epigenetic_marks[[i]],
type="peaks",
genome="grch38",
project="BLUEPRINT Epigenome");
experiment_names = deepblue_extract_names(experiments_list)
histones_datasets[[epigenetic_marks[[i]]]] = experiment_names
}
deepblue_enrich_regions_overlap(
query_id=filtered_query_id,
background_query=rg_10kb_tilling,
datasets=histones_datasets,
genome="grch38")
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