View source: R/extractSigsChord.R
| extractSigsChord | R Documentation | 
This function is a wrapper for the 3 functions from mutSigExtractor: extractSigsSnv(), extractSigsIndel(), extractSigsSv(). Some post-processing is done to produce compatible input for CHORD
extractSigsChord(
  vcf.snv = NULL,
  vcf.indel = vcf.snv,
  vcf.sv = NULL,
  df.snv = NULL,
  df.indel = df.snv,
  df.sv = NULL,
  sample.name = "sample",
  vcf.filters = list(snv = NA, indel = NA, sv = NA),
  sv.caller = "gridss",
  output.path = NULL,
  ref.genome = mutSigExtractor::DEFAULT_GENOME,
  verbose = F
)
vcf.snv | 
 Path to the vcf file containing SNVs  | 
vcf.indel | 
 Path to the vcf file containing indels. By default vcf.indel=vcf.snv  | 
vcf.sv | 
 Path to the vcf file containing SVs  | 
df.snv | 
 A dataframe containing the columns: chrom, pos, ref, alt.  | 
df.indel | 
 A dataframe containing the columns: chrom, pos, ref, alt.  | 
df.sv | 
 A dataframe with the columns: sv_type, sv_len. sv_type can be DEL, DUP, INV, TRA, BND.  | 
sample.name | 
 The name of the sample as a character. Defaults to 'sample' if none is provided.  | 
vcf.filters | 
 A list of in the form list(snv=character(),indel=character(),sv=character()) indicated which variants to keep, corresponding to the values in the vcf FILTER column. NA can be specified for each list item to ignore filtering of a vcf.  | 
sv.caller | 
 SV vcfs are not standardized and therefore need to be parsed differently depending on the caller. Currently supports 'manta' or 'gridss'.  | 
output.path | 
 If a path is specified, the output is written to this path.  | 
ref.genome | 
 A BSgenome reference genome. Default is BSgenome.Hsapiens.UCSC.hg19. If another reference genome is indicated, it will also need to be installed.  | 
verbose | 
 Whether to print progress messages  | 
A 1-row data frame containing the mutational signature contributions
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.