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you will be prompted to enter your password.
This token can be specified as the token parameter.
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curl --form token=cUOWY0VvkSFagr... http://localhost:8080/flow/api/v1/users/list |
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[ { "annotationModel": "", "assembly": "hg19", "description": "Reference sequence", "fileType": "Genome sequence", "id": 100 }, { "annotationModel": "", "assembly": "hg19", "description": "Cytoband", "fileType": "cytoBand.txt", "id": 101 }, { "annotationModel": "", "assembly": "hg19", "description": "Bowtie index", "fileType": "Bowtie Index", "id": 102 }, { "annotationModel": "hg19_refseq_15_05_07_v2", "assembly": "hg19", "description": "Annotation file: hg19_refseq_15_05_07_v2", "fileType": "Annotation model", "id": 103 } ] |
The pipeline can be launched in any project using RunPython.py
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curl -X PUT "http://localhost:8080/flow/api/v1/projects?project=ProjectName&collaborator=user1&role=Collaborator&token=$FLOW_TOKEN" |
Transfer feature lists
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curl --form token=$TO_TOKEN --form url=http://from:8080/flow/api/v1/feature_lists/export?token=$FROM_TOKEN http://to:8080/flow/api/v1/feature_lists/import |
Monitor a folder and upload files as they are created
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#!/bin/bash while true; do result=`python QueueStatistics.py --server $SERVER --token $TOKEN --max_waiting $MAX_WAITING` if [ $? -eq 1 ]; then /usr/bin/notify-send $result exit 1 fi sleep $INTERVAL done |
Additional assistance |
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