View source: R/split_muts_region.R
split_muts_region | R Documentation |
A GRangesList or GRanges object containing variants is split based on a list of regions. This list can be either a GRangesList or a GRanges object. The result is a GRangesList where each element contains the variants of one sample from one region. Variant that are not in any of the provided region are put in a list of 'other'.
split_muts_region(vcf_list, ranges_grl, include_other = TRUE)
vcf_list |
GRangesList or GRanges object |
ranges_grl |
GRangesList or GRanges object containing regions of interest |
include_other |
Boolean. Whether or not to include a "Other" region containing mutations that aren't in any other region. |
GRangesList
Other genomic_regions:
bin_mutation_density()
,
lengthen_mut_matrix()
,
plot_profile_region()
,
plot_spectrum_region()
## Read in some existing genomic regions. ## See the 'genomic_distribution()' example for how we obtained the ## following data: CTCF_g <- readRDS(system.file("states/CTCF_g_data.rds", package = "MutationalPatterns" )) promoter_g <- readRDS(system.file("states/promoter_g_data.rds", package = "MutationalPatterns" )) flanking_g <- readRDS(system.file("states/promoter_flanking_g_data.rds", package = "MutationalPatterns" )) ## Combine the regions into a single GRangesList regions <- GRangesList(promoter_g, flanking_g, CTCF_g) names(regions) <- c("Promoter", "Promoter flanking", "CTCF") ## Read in some variants. ## See the 'read_vcfs_as_granges()' example for how we obtained the ## following data: grl <- readRDS(system.file("states/read_vcfs_as_granges_output.rds", package = "MutationalPatterns" )) ## Split muts based on the supplied regions split_muts_region(grl, regions) ## Don't include muts outside of the supplied regions split_muts_region(grl, regions, include_other = FALSE)
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