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task regression { | |
input { | |
String phecode | |
String phecode_directory | |
String plink | |
File covars | |
} | |
File phecode_file = phecode_directory + phecode + ".tsv" | |
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version 1.0 | |
workflow test_workflow_functions { | |
File f = "gs://path-to-something/object" | |
Float s = size(f) | |
} |
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{} |
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{ | |
"id": "UUID", | |
"name": "TwistTCAP_POC_v8", | |
"description": "Testing things out...", | |
"defaultProfileId": null, | |
"dataProject": null, | |
"defaultSnapshotId": null, | |
"schema": { | |
"tables": [ | |
{ |
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{ | |
"defaultProfileId": "390e7a85-d47f-4531-b612-165fc977d3bd", | |
"description": "example data repo dataset", | |
"name": "example_demo_dataset", | |
"schema": { | |
"relationships": [ | |
{ | |
"from": { | |
"column": "participant_id", | |
"table": "sample" |
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## - Reference genome must be Hg38 with ALT contigs | |
## | |
## Runtime parameters are optimized for Broad's Google Cloud Platform implementation. | |
## For program versions, see docker containers. | |
## | |
## LICENSING : | |
## This script is released under the WDL source code license (BSD-3) (see LICENSE in | |
## https://github.com/broadinstitute/wdl). Note however that the programs it calls may | |
## be subject to different licenses. Users are responsible for checking that they are | |
## authorized to run all programs before running this script. Please see the docker |
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workflow test_gpu_wf { | |
call test_gpu {} | |
} | |
task test_gpu { | |
command { nvidia-smi } | |
runtime { | |
gpuType: "nvidia-tesla-k80" | |
gpuCount: 1 |
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## Copyright Broad Institute, 2018 | |
## | |
## This WDL pipeline implements data pre-processing according to the GATK Best Practices | |
## (June 2016). | |
## | |
## Requirements/expectations : | |
## - Pair-end sequencing data in unmapped BAM (uBAM) format | |
## - One or more read groups, one per uBAM file, all belonging to a single sample (SM) | |
## - Input uBAM files must additionally comply with the following requirements: | |
## - - filenames all have the same suffix (we use ".unmapped.bam") |
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{ | |
"wf_hello.print.inFile": "gs://rm-dev/a.txt" | |
} |
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task print { | |
File inFile | |
command { | |
cat ${inFile} | |
} | |
output { | |
String contents = read_string(stdout()) | |
} | |
runtime { | |
docker: "ubuntu@sha256:71cd81252a3563a03ad8daee81047b62ab5d892ebbfbf71cf53415f29c130950" |
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