Description Usage Arguments Value See Also Examples
Enrich the regions based on regions overlap analysis.
1 2 | deepblue_enrich_regions_overlap(query_id = NULL, background_query_id = NULL,
datasets = NULL, genome = NULL, user_key = deepblue_options("user_key"))
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query_id |
- A string (Query ID) |
background_query_id |
- A string (query_id containing the regions that will be used as the background data.) |
datasets |
- A struct (a map where each key is an identifier and the value is a list containing experiment names or query_ids (you can use both together).) |
genome |
- A string (the target genome) |
user_key |
- A string (users token key) |
request_id - A string (Request ID - Use it to retrieve the result with info() and get_request_data(). The result is a list containing the datasets that overlap with the query_id regions.)
Other Enrich the genome regions: deepblue_enrich_regions_fast
,
deepblue_enrich_regions_go_terms
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | 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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