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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