manta: manta

Description Usage Arguments

View source: R/somaticStrelka2Manta.R

Description

SVs calling of paired tumor-normal wgs using manta

SVs calling of paired tumor-normal wgs using manta

Usage

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manta(
  tumor_bam,
  ctrl_bam,
 
    ref = "/gpfs42/robbyfs/scratch/lab_lpasquali/msubirana/ref/GCA_000001405.15_GRCh38_no_alt_analysis_set.fa",
  out_dir_manta,
  cores,
  conf_manta = "configManta.py",
 
    call_regions = "/gpfs42/robbyfs/scratch/lab_lpasquali/msubirana/ref/callRegions.bed.gz"
)

manta(
  tumor_bam,
  ctrl_bam,
 
    ref = "/gpfs42/robbyfs/scratch/lab_lpasquali/msubirana/ref/GCA_000001405.15_GRCh38_no_alt_analysis_set.fa",
  out_dir_manta,
  cores,
  conf_manta = "configManta.py",
 
    call_regions = "/gpfs42/robbyfs/scratch/lab_lpasquali/msubirana/ref/callRegions.bed.gz"
)

Arguments

ref

Reference fasta genome. By default '/gpfs42/projects/lab_lpasquali/shared_data/marc/ref/hg38/hg38.fa'

out_dir_manta

Path where the output of the Manta analysis will be saved.

cores

Number of cores to use.

conf_manta

Manta 'configManta.py' path. By default 'configManta.py'

call_regions

Manta calls the entire genome by default, however variant calling may be restricted to an arbitrary subset of the genome by providing a region file in BED format with the –callRegions configuration option. The BED file must be bgzip-compressed and tabix-indexed, and only one such BED file may be specified. When specified, all VCF output is restricted to the provided call regions only, however statistics derived from the input data


msubirana/DNAseqPipeline documentation built on Dec. 21, 2021, 10:12 p.m.