Apply a function on tidy cpgs (internally separated by coordinates)
gpatterns.apply_tidy_cpgs(track, f, split_by_bin = TRUE,
parallel = getOption("gpatterns.parallel"), use_sge = FALSE,
max_jobs = 300, verbose = FALSE, ...)
Arguments
- track
- name of track
- f
- function to apply (needs to return a data frame)
- split_by_bin
- apply on each genomic bin separately
- parallel
- execute parallely
- use_sge
- use sge cluster for parallelization
- max_jobs
- maximal number of jobs for sge
- verbose
- print jobs status
- ...
- additonal parameters for gcluster.run2
Value
a data frame with f applied to every genomic bin of tidy_cpgs
of track