import_juncs_from_bed | R Documentation |
Import splice junction data from BED or SJ.out.tab file
import_juncs_from_bed(
iBed,
juncNames,
sample_id,
scale_factor,
use_memoise = FALSE,
memoise_junction_path = "junctions_memoise",
gr = NULL,
verbose = FALSE,
...
)
iBed |
path or URL to one BED file containing splice junction data. The score is expected to be stored in the name column (column 3), primarily because the score column is sometimes restricted to maximum value 1000. However if the name column cannot be converted to numeric without creating NA values, then the score column will be used. |
juncNames |
the name of the junction source file |
sample_id |
character string representing the sample identifier. |
scale_factor |
numeric value used to adjust the raw score, applied by multiplying the scale_factor by each score. |
gr |
GRanges representing the overall range for which junction data will be retrieved. Note that any junctions that span this range, but do not start or end inside this range, will be removed. |
This function is intended to be called internally by
prepareSashimi()
, and is provided primarily to enable
use of memoise::memoise()
to cache results.
This function was refactored in version 0.0.69.900 to
handle either BED format, or "SJ.out.tab"
junction
format as produced by STAR alignment. The method uses
data.table::fread()
then if there are 9 columns,
it assumes the format is "SJ.out.tab"
. Otherwise it
coerces the data.frame
with as(bed, "GRanges")
.
The BED or "SJ.out.tab"
file can be gzipped, provided
data.table()
is able to recognieze and import the
compression format.
Note that bigBed format still cannot be used since the rtracklayer package does not support that format.
Also note that junctions with score=0
are dropped at
this step, to prevent propagation of junctions with
zero counts.
Other jam data import functions:
psl2df()
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