nf-core · jonasscheid · May 2, 2025 · Apr 30, 2025 · Apr 30, 2025 · Apr 30, 2025
@@ -4,57 +4,36 @@ name: nf-core AWS full size tests
 # It runs the -profile 'test_full' on AWS batch
 
 on:
-  pull_request:
-    branches:
-      - main
-      - master
   workflow_dispatch:
   pull_request_review:
     types: [submitted]
+  release:
+    types: [published]
 
 jobs:
   run-platform:
     name: Run AWS full tests
-    # run only if the PR is approved by at least 2 reviewers and against the master branch or manually triggered
-    if: github.repository == 'nf-core/epitopeprediction' && github.event.review.state == 'approved' && github.event.pull_request.base.ref == 'master' || github.event_name == 'workflow_dispatch'
+    # run only if the PR is approved by at least 2 reviewers and against the master/main branch or manually triggered
+    if: github.repository == 'nf-core/epitopeprediction' && github.event.review.state == 'approved' && (github.event.pull_request.base.ref == 'master' || github.event.pull_request.base.ref == 'main') || github.event_name == 'workflow_dispatch'
     runs-on: ubuntu-latest
     steps:
-      - name: Get PR reviews
-        uses: octokit/request-action@v2.x
-        if: github.event_name != 'workflow_dispatch'
-        id: check_approvals
-        continue-on-error: true
-        with:
-          route: GET /repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/reviews?per_page=100
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Check for approvals
-        if: ${{ failure() && github.event_name != 'workflow_dispatch' }}
-        run: |
-          echo "No review approvals found. At least 2 approvals are required to run this action automatically."
-          exit 1
-
-      - name: Check for enough approvals (>=2)
-        id: test_variables
-        if: github.event_name != 'workflow_dispatch'
+      - name: Set revision variable
+        id: revision
         run: |
-          JSON_RESPONSE='${{ steps.check_approvals.outputs.data }}'
-          CURRENT_APPROVALS_COUNT=$(echo $JSON_RESPONSE | jq -c '[.[] | select(.state | contains("APPROVED")) ] | length')
-          test $CURRENT_APPROVALS_COUNT -ge 2 || exit 1 # At least 2 approvals are required
+          echo "revision=${{ (github.event_name == 'workflow_dispatch' || github.event_name == 'release') && github.sha || 'dev' }}" >> "$GITHUB_OUTPUT"
 
       - name: Launch workflow via Seqera Platform
         uses: seqeralabs/action-tower-launch@v2
         with:
           workspace_id: ${{ secrets.TOWER_WORKSPACE_ID }}
           access_token: ${{ secrets.TOWER_ACCESS_TOKEN }}
           compute_env: ${{ secrets.TOWER_COMPUTE_ENV }}
-          revision: ${{ github.sha }}
-          workdir: s3://${{ secrets.AWS_S3_BUCKET }}/work/epitopeprediction/work-${{ github.sha }}
+          revision: ${{ steps.revision.outputs.revision }}
+          workdir: s3://${{ secrets.AWS_S3_BUCKET }}/work/epitopeprediction/work-${{ steps.revision.outputs.revision }}
           parameters: |
             {
               "hook_url": "${{ secrets.MEGATESTS_ALERTS_SLACK_HOOK_URL }}",
-              "outdir": "s3://${{ secrets.AWS_S3_BUCKET }}/epitopeprediction/results-${{ github.sha }}"
+              "outdir": "s3://${{ secrets.AWS_S3_BUCKET }}/epitopeprediction/results-${{ steps.revision.outputs.revision }}"
             }
           profiles: test_full
 

@@ -82,7 +82,8 @@ jobs:
       - name: Clean up Disk space
         uses: jlumbroso/free-disk-space@54081f138730dfa15788a46383842cd2f914a1be # v1.3.1
 
-      - name: Run pipeline with test data
+      - name: "Run pipeline with test data ${{ matrix.NXF_VER }} | ${{ matrix.test_name }} | ${{ matrix.profile }}"
+        continue-on-error: ${{ matrix.NXF_VER == 'latest-everything' }}
         run: |
           nextflow run ${GITHUB_WORKSPACE} -profile test,docker --outdir ./results
   profile:

@@ -3,7 +3,7 @@ lint:
     - assets/nf-core-epitopeprediction_logo_light.png
     - docs/images/nf-core-epitopeprediction_logo_light.png
     - docs/images/nf-core-epitopeprediction_logo_dark.png
-nf_core_version: 3.2.0
+nf_core_version: 3.2.1
 repository_type: pipeline
 template:
   author: Christopher Mohr, Jonas Scheid

@@ -24,6 +24,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - [#260](https://github.com/nf-core/epitopeprediction/pull/260), [#270](https://github.com/nf-core/epitopeprediction/pull/270) - Major refactoring to new, modular MHC binding subworkflow (see Meta-Issue [#205](https://github.com/nf-core/epitopeprediction/issues/205))
 - [#263](https://github.com/nf-core/epitopeprediction/pull/263) - Rearrange supported alleles per predictor
 - [#266](https://github.com/nf-core/epitopeprediction/pull/266), [#268](https://github.com/nf-core/epitopeprediction/pull/268) - Refactor variant prediction with `epytope`
+- [#282](https://github.com/nf-core/epitopeprediction/pull/282) - Update to nf-core template `3.2.1`
 
 ### `Fixed`
 

@@ -25,7 +25,7 @@ params {
 
     // Input data
     input  = params.pipelines_testdata_base_path + 'epitopeprediction/testdata/sample_sheets/sample_sheet_variants.csv'
-    tools = 'mhcflurry'
+    tools = 'mhcnuggets'
     // Reduce number of possible peptide lengths to speed up test
     min_peptide_length_classI = 9
     max_peptide_length_classI = 10

@@ -20,7 +20,7 @@ params {
     config_profile_description = 'Test MHCflurry and MHCnuggets prediction based on peptides for human and mouse alleles'
 
     input  = params.pipelines_testdata_base_path + 'epitopeprediction/testdata/sample_sheets/sample_sheet_peptides.csv'
-    tools = 'mhcflurry,mhcnuggets'
+    tools = 'mhcnuggets'
     // Reduce number of possible peptide lengths to speed up test
     min_peptide_length_classI = 9
     max_peptide_length_classI = 10

@@ -20,7 +20,7 @@ params {
     config_profile_description = 'Test MHCflurry prediction with protein input'
 
     input  = params.pipelines_testdata_base_path + 'epitopeprediction/testdata/sample_sheets/sample_sheet_proteins.csv'
-    tools = 'mhcflurry'
+    tools = 'mhcnuggets'
     // Reduce number of possible peptide lengths to speed up test
     min_peptide_length_classI = 9
     max_peptide_length_classI = 10

@@ -20,7 +20,7 @@ params {
     config_profile_description = 'Test MHCflurry and MHCnuggets prediction based on peptides for human and mouse alleles'
 
     input  = params.pipelines_testdata_base_path + 'epitopeprediction/testdata/sample_sheets/sample_sheet_peptides.csv'
-    tools = 'mhcflurry,mhcnuggets'
+    tools = 'mhcnuggets'
     // Reduce number of possible peptide lengths to speed up test
     min_peptide_length_classI = 9
     max_peptide_length_classI = 10

@@ -22,7 +22,7 @@ params {
     genome_reference = 'grch37'
 
     // Options: Predictions
-    tools = 'mhcflurry'
+    tools = 'mhcnuggets'
 
     // Options: Filter variants by user-defined proteome
     proteome_reference = null

@@ -96,7 +96,7 @@
                 },
                 "tools": {
                     "type": "string",
-                    "default": "mhcflurry",
+                    "default": "mhcnuggets",
                     "help_text": "Specifies the tool(s) to use. Multiple tools can be combined in a list separated by comma.\nAvailable are: `mhcflurry`, `mhcnuggets`, `mhcnuggetsii`,`netmhcpan`,`netmhciipan`.",
                     "description": "Specifies the prediction tool(s) to use."
                 },

@@ -22,7 +22,7 @@
             "@id": "./",
             "@type": "Dataset",
             "creativeWorkStatus": "Stable",
-            "datePublished": "2025-01-27T14:45:29+00:00",
+            "datePublished": "2025-04-30T12:25:48+00:00",
             "description": "<h1>\n  <picture>\n    <source media=\"(prefers-color-scheme: dark)\" srcset=\"docs/images/nf-core-epitopeprediction_logo_dark.png\">\n    <img alt=\"nf-core/epitopeprediction\" src=\"docs/images/nf-core-epitopeprediction_logo_light.png\">\n  </picture>\n</h1>\n\n[![GitHub Actions CI Status](https://github.com/nf-core/epitopeprediction/actions/workflows/ci.yml/badge.svg)](https://github.com/nf-core/epitopeprediction/actions/workflows/ci.yml)\n[![GitHub Actions Linting Status](https://github.com/nf-core/epitopeprediction/actions/workflows/linting.yml/badge.svg)](https://github.com/nf-core/epitopeprediction/actions/workflows/linting.yml)[![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/epitopeprediction/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.XXXXXXX-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.XXXXXXX)\n[![nf-test](https://img.shields.io/badge/unit_tests-nf--test-337ab7.svg)](https://www.nf-test.com)\n\n[![Nextflow](https://img.shields.io/badge/nextflow%20DSL2-%E2%89%A524.04.2-23aa62.svg)](https://www.nextflow.io/)\n[![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)\n[![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)\n[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)\n[![Launch on Seqera Platform](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Seqera%20Platform-%234256e7)](https://cloud.seqera.io/launch?pipeline=https://github.com/nf-core/epitopeprediction)\n\n[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23epitopeprediction-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/epitopeprediction)[![Follow on Twitter](http://img.shields.io/badge/twitter-%40nf__core-1DA1F2?labelColor=000000&logo=twitter)](https://twitter.com/nf_core)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)\n\n## Introduction\n\n**nf-core/epitopeprediction** is a bioinformatics pipeline that ...\n\n<!-- TODO nf-core:\n   Complete this sentence with a 2-3 sentence summary of what types of data the pipeline ingests, a brief overview of the\n   major pipeline sections and the types of output it produces. You're giving an overview to someone new\n   to nf-core here, in 15-20 seconds. For an example, see https://github.com/nf-core/rnaseq/blob/master/README.md#introduction\n-->\n\n<!-- TODO nf-core: Include a figure that guides the user through the major workflow steps. Many nf-core\n     workflows use the \"tube map\" design for that. See https://nf-co.re/docs
E995
/contributing/design_guidelines#examples for examples.   -->\n<!-- TODO nf-core: Fill in short bullet-pointed list of the default steps in the pipeline -->1. Read QC ([`FastQC`](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/))2. Present QC for raw reads ([`MultiQC`](http://multiqc.info/))\n\n## Usage\n\n> [!NOTE]\n> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline) with `-profile test` before running the workflow on actual data.\n\n<!-- TODO nf-core: Describe the minimum required steps to execute the pipeline, e.g. how to prepare samplesheets.\n     Explain what rows and columns represent. For instance (please edit as appropriate):\n\nFirst, prepare a samplesheet with your input data that looks as follows:\n\n`samplesheet.csv`:\n\n```csv\nsample,fastq_1,fastq_2\nCONTROL_REP1,AEG588A1_S1_L002_R1_001.fastq.gz,AEG588A1_S1_L002_R2_001.fastq.gz\n```\n\nEach row represents a fastq file (single-end) or a pair of fastq files (paired end).\n\n-->\n\nNow, you can run the pipeline using:\n\n<!-- TODO nf-core: update the following command to include all required parameters for a minimal example -->\n\n```bash\nnextflow run nf-core/epitopeprediction \\\n   -profile <docker/singularity/.../institute> \\\n   --input samplesheet.csv \\\n   --outdir <OUTDIR>\n```\n\n> [!WARNING]\n> Please provide pipeline parameters via the CLI or Nextflow `-params-file` option. Custom config files including those provided by the `-c` Nextflow option can be used to provide any configuration _**except for parameters**_; see [docs](https://nf-co.re/docs/usage/getting_started/configuration#custom-configuration-files).\n\nFor more details and further functionality, please refer to the [usage documentation](https://nf-co.re/epitopeprediction/usage) and the [parameter documentation](https://nf-co.re/epitopeprediction/parameters).\n\n## Pipeline output\n\nTo see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/epitopeprediction/results) tab on the nf-core website pipeline page.\nFor more details about the output files and reports, please refer to the\n[output documentation](https://nf-co.re/epitopeprediction/output).\n\n## Credits\n\nnf-core/epitopeprediction was originally written by Christopher Mohr, Jonas Scheid.\n\nWe thank the following people for their extensive assistance in the development of this pipeline:\n\n<!-- TODO nf-core: If applicable, make list of people who have also contributed -->\n\n## Contributions and Support\n\nIf you would like to contribute to this pipeline, please see the [contributing guidelines](.github/CONTRIBUTING.md).\n\nFor further information or help, don't hesitate to get in touch on the [Slack `#epitopeprediction` channel](https://nfcore.slack.com/channels/epitopeprediction) (you can join with [this invite](https://nf-co.re/join/slack)).\n\n## Citations\n\n<!-- TODO nf-core: Add citation for pipeline after first release. Uncomment lines below and update Zenodo doi and badge at the top of this file. -->\n<!-- If you use nf-core/epitopeprediction for your analysis, please cite it using the following doi: [10.5281/zenodo.XXXXXX](https://doi.org/10.5281/zenodo.XXXXXX) -->\n\n<!-- TODO nf-core: Add bibliography of tools and data used in your pipeline -->\n\nAn extensive list of references for the tools used by the pipeline can be found in the [`CITATIONS.md`](CITATIONS.md) file.\n\nYou can cite the `nf-core` publication as follows:\n\n> **The nf-core framework for community-curated bioinformatics pipelines.**\n>\n> Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.\n>\n> _Nat Biotechnol._ 2020 Feb 13. doi: [10.1038/s41587-020-0439-x](https://dx.doi.org/10.1038/s41587-020-0439-x).\n",
             "hasPart": [
                 {
@@ -99,7 +99,7 @@
             },
             "mentions": [
                 {
-                    "@id": "#a9708555-2054-48b7-844a-14b4b846c90b"
+                    "@id": "#821ef0f6-2a39-40b3-a48c-cca819ae4491"
                 }
             ],
             "name": "nf-core/epitopeprediction"
@@ -131,7 +131,7 @@
                 }
             ],
             "dateCreated": "",
-            "dateModified": "2025-01-27T14:45:29Z",
+            "dateModified": "2025-04-30T12:25:48Z",
             "dct:conformsTo": "https://bioschemas.org/profiles/ComputationalWorkflow/1.0-RELEASE/",
             "keywords": ["nf-core", "nextflow", "epitope", "epitope-prediction", "mhc-binding-prediction"],
             "license": ["MIT"],
@@ -163,11 +163,11 @@
             "version": "!>=24.04.2"
         },
         {
-            "@id": "#a9708555-2054-48b7-844a-14b4b846c90b",
+            "@id": "#821ef0f6-2a39-40b3-a48c-cca819ae4491",
             "@type": "TestSuite",
             "instance": [
                 {
-                    "@id": "#e73d20cf-ee21-4a6a-8abb-e89793f0d763"
+                    "@id": "#1ace75f4-dfda-425d-8541-46e669f45536"
                 }
             ],
             "mainEntity": {
@@ -176,7 +176,7 @@
             "name": "Test suite for nf-core/epitopeprediction"
         },
         {
-            "@id": "#e73d20cf-ee21-4a6a-8abb-e89793f0d763",
+            "@id": "#1ace75f4-dfda-425d-8541-46e669f45536",
             "@type": "TestInstance",
             "name": "GitHub Actions workflow for testing nf-core/epitopeprediction",
             "resource": "repos/nf-core/epitopeprediction/actions/workflows/ci.yml",