View source: R/parallel_utils.R
featureCountsParallel | R Documentation |
Rsubread::featureCounts()
Rsubread::featureCounts()
already has its own parallel option via
the nthreads
argument, but sometimes this does not result in a
speed-up, presumably due to the file reading being a bottleneck.
Instead, this function calls Rsubread::featureCounts()
on
multiple files in parallel. Empirically, this sometimes results in
a better parallel speed-up than using nthreads
.
featureCountsParallel(files, ..., BPPARAM = BiocParallel::bpparam())
files |
This has the same meaning as in
|
... |
Other arguments are passed to
|
BPPARAM |
A BiocParallelParam instance that determines how to parallelize the operation |
See Rsubread::featureCounts()
.
Rsubread::featureCounts()
, BiocParallel::bplapply()
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