multisample_clonet_trento | R Documentation |
This function identifies a set of BAM files as tumour and normal and processes them using the CLONET pipeline in parallel If sample sheet is provided data has to be supplied in the following format: patient_id tumour normal version
multisample_clonet_trento(
sample_sheet = NA,
bam_dir = "",
normal_id = "",
patient_id = "",
version = "V3",
tc = NULL,
ploidy = NULL,
tmp_dir = ".",
header = TRUE,
sep = "",
threads = 3,
ram = 4,
output_dir = ".",
verbose = FALSE,
batch_config = build_default_preprocess_config(),
executor_id = make_unique_id("multi_clonet"),
task_name = "multi_clonet",
mode = "local",
time = "48:0:0",
update_time = 60,
wait = FALSE,
hold = NULL
)
sample_sheet |
Path to sample sheet or data.frame. |
bam_dir |
Path to bam directory. Only if sample sheet is not provided. |
normal_id |
Normal sample identifier. Only if sample sheet is not provided. |
patient_id |
Patient id. Only if sample sheet is not provided. |
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 "preprocess_trento" |
task_name |
Name of the task. Default "preprocess_trento" |
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. |
Header can be ommitted if data is given in the order above and header argument is set to FALSE. Sample sheet separator can be set using the sep argument.
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