View source: R/junction_load.R
junction_load | R Documentation |
junction_load
loads in raw patient and control junction data and formats it
into a
RangedSummarizedExperiment-class
object. Control samples can be the user's in-house samples or selected from
GTEx v6 data publicly released through the
recount2 and
downloaded through snaptron. By default,
junction_load
expects the junction data to be in STAR aligned format
(SJ.out) but this can be modified via the argument load_func
.
junction_load(
junction_paths,
metadata = dplyr::tibble(samp_id = stringr::str_c("samp_",
seq_along(junction_paths))),
controls = rep(FALSE, length(junction_paths)),
load_func = .STAR_load,
chrs = NULL,
coord_system = 1
)
junction_paths |
path(s) to junction data. |
metadata |
data.frame containing sample metadata with rows in the same
order as |
controls |
either a logical vector of the same length as
|
load_func |
function to load in junctions. By default, requires STAR formatted junctions (SJ.out). But this can be switched dependent on the format of the user's junction data. Function must take as input a junction path then return a data.frame with the columns "chr", "start", "end", "strand" and "count". |
chrs |
chromosomes to keep. By default, no filter is applied. |
coord_system |
1 (1-based) or 0 (0-based) denoting the co-ordinate
system corresponding to the user junctions from |
RangedSummarizedExperiment-class object containing junction data.
junctions_example_1_path <-
system.file("extdata",
"junctions_example_1.txt",
package = "dasper",
mustWork = TRUE
)
junctions_example_2_path <-
system.file("extdata",
"junctions_example_2.txt",
package = "dasper",
mustWork = TRUE
)
junctions <-
junction_load(
junction_paths = c(junctions_example_1_path, junctions_example_2_path)
)
junctions
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