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Adapt Azimuth code for Wilms label transfer #246

Adapt Azimuth code for Wilms label transfer

Adapt Azimuth code for Wilms label transfer #246

# This is a workflow to run the cell-type-wilms-tumor-06 module
#
# Analysis modules are run based on three triggers:
# - Manual trigger
# - On pull requests where code in the module has changed
# - As a reusable workflow called from a separate workflow which periodically runs all modules
#
# At initialization, only the manual trigger is active
name: Run cell-type-wilms-tumor-06 analysis module
env:
MODULE_PATH: analyses/cell-type-wilms-tumor-06
AWS_DEFAULT_REGION: us-east-2
concurrency:
# only one run per branch at a time
group: "run_cell-type-wilms-tumor-06_${{ github.ref }}"
cancel-in-progress: true
on:
workflow_dispatch:
workflow_call:
pull_request:
branches:
- main
- feature/*
paths:
- analyses/cell-type-wilms-tumor-06/**
- "!analyses/cell-type-wilms-tumor-06/Dockerfile"
- "!analyses/cell-type-wilms-tumor-06/.dockerignore"
- .github/workflows/run_cell-type-wilms-tumor-06.yml
jobs:
run-module:
if: github.repository_owner == 'AlexsLemonade'
runs-on: ubuntu-latest
container: public.ecr.aws/openscpca/cell-type-wilms-tumor-06:latest
defaults:
run:
shell: bash -el {0}
steps:
- name: Checkout repo
uses: actions/checkout@v4
- name: Install aws-cli
run: |
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install
- name: Download test data
env:
# Use all samples for testing unless this is triggered by a PR, in which case only use a subset of samples for faster testing
# These samples were selected because they are the subset of samples explored when evaluating CNV methods,
# so they must be present to run the module workflow in full.
DOWNLOAD_FLAG: ${{ github.event_name != 'pull_request' && '--projects SCPCP000006' || '--samples SCPCS000179,SCPCS000184,SCPCS000194,SCPCS000205,SCPCS0000208' }}
run: ./download-data.py --test-data --format SCE ${DOWNLOAD_FLAG}
- name: Run analysis module
run: TESTING=1 bash 00_run_workflow.sh
working-directory: ${{ env.MODULE_PATH }}