More about running fastq-to-gvcf » History » Version 1
Peter Amstutz, 04/07/2025 03:52 PM
| 1 | 1 | Peter Amstutz | h1. More about running bam-to-vcf |
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| 3 | When we do releases, we run a test pipeline that is intended to be representative of a bioinformatics workload. |
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| 5 | 1. Deploy the version of @arvados-cwl-runner@ that you want to test and make sure that the corresponding @arvados/jobs@ image "has been built and uploaded to docker hub":https://ci.arvados.org/view/Release%20Pipeline/job/docker-jobs-image-release/ or built using the @arvados/build/build-dev-docker-jobs-image.sh@ script and uploaded using @arv-keepdocker@. |
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| 7 | 2. Clone https://git.arvados.org/arvados-tutorial.git/ |
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| 9 | 3. Create an Arvados project for the test run |
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| 11 | 4. @cd arvados/tutorial/WGS-processing@ |
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| 13 | 5. Run the following command: @arvados-cwl-runner --no-wait --disable-reuse --project-uuid <my project> cwl/wgs-processing-wf.cwl yml/wgs-processing-wf-chr19.yml@ |
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| 15 | 6. Monitor this for success. It usually takes about an hour to run. |
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| 17 | If you are running this on @pirca@ then all the data should already be present. If you are running it from somewhere else, you may need to do some additional data copying from @pirca@ to the other cluster. The input document @yml/wgs-processing-wf-chr19.yml@ has the portable data hashes of the collections. |