clonet_trento: Process a pair of tumour-normal samples using CLONET

View source: R/trento.R

clonet_trentoR Documentation

Process a pair of tumour-normal samples using CLONET

Description

This function takes a pair of tumour and normal BAMS and applies the CLONET pipeline

Usage

clonet_trento(
  sif_clonet = build_default_sif_list()$sif_clonet$V3,
  version = "V3",
  tumour = "",
  normal = "",
  patient_id = "",
  tc = NULL,
  ploidy = NULL,
  tmp_dir = ".",
  threads = 3,
  ram = 4,
  output_dir = ".",
  verbose = FALSE,
  batch_config = build_default_preprocess_config(),
  executor_id = make_unique_id("clonet"),
  task_name = "clonet",
  mode = "local",
  time = "48:0:0",
  update_time = 60,
  wait = FALSE,
  hold = NULL
)

Arguments

version

PCF Select panel version to use

tumour

Path to tumour BAM file

normal

Path to normal BAM file

patient_id

Patient id.

tc

Pre-computed tumour content. Default NULL.

ploidy

Pre-computed ploidy. Default NULL.

tmp_dir

Path to temporary file directory.

threads

Number of CPU cores to use. Default 3.

ram

RAM memory for batched job. Default 4

output_dir

Path to the output directory.

verbose

Enables progress messages. Default False.

executor_id

Executor ID. Default "clonet"

task_name

Name of the task. Default "clonet"

mode

REQUIRED Where to parallelize. Default local. Options "local","batch"

time

OPTIONAL If batch mode. Max run time per job. Default "48:0:0"

update_time

OPTIONAL If batch mode. Job update time in seconds. Default 60.

wait

OPTIONAL If batch mode wait for batch to finish. Default FALSE

hold

Job to hold on in batched mode.

sif_path

Path to singularity image file


TearsWillFall/ULPwgs documentation built on April 18, 2024, 3:45 p.m.