fetch_bam_dt | R Documentation |
fetches a tidy data.table of scores from bigwigs, automatically uses cache.
fetch_bam_dt( qdt, qgr, qwin = 50, qmet = "summary", agg_FUN = sum, bfc = NULL, n_cores = getOption("mc.cores", 1), rname = NULL, force_overwrite = FALSE, verbose = TRUE, fragLens = "auto" )
qdt |
data.table containing, file, tall_var, wide_var, and optionally norm_factor |
qgr |
GRanges of regions to fetch |
qwin |
number of datapoints to use to view each region |
qmet |
strategy to use in each region, summary or sample |
agg_FUN |
function used to aggregate any duplicate tall_var+wide_var mappings in qdt. Should accept a numeric vector and return a single value. |
bfc |
BiocFileCache object to use to cache data |
n_cores |
number of cores to use. Defaults to value of mc.cores or 1 if mc.cores is not set. |
rname |
rname to use with cache. Default is a digest of arguments used to fetch data. |
force_overwrite |
if TRUE, any contents of cache are overwritten. |
a tidy data.table of profile data.
data("query_gr") bam_files = dir(system.file('extdata', package = "chiptsne"), pattern = ".bam$", full.names = TRUE) cfg_dt = data.table(file = bam_files) cfg_dt[, c("tall_var", "wide_var") := tstrsplit(basename(file), "_", keep = 1:2)] cfg_dt = cfg_dt[tall_var %in% c("ESH1", "HUES48", "HUES64")] cfg_dt[, norm_factor := ifelse(wide_var == "H3K4me3", .3, 1)] profile_dt = fetch_bam_dt(cfg_dt, query_gr) profile_dt
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