Merge pull request #290 from nf-core/nf-core-template-merge-2.9

Important! Template update for nf-core/tools v2.9

Author: jfy133

.github/CONTRIBUTING.md

@@ -116,4 +116,3 @@ To get started:
 Devcontainer specs:
 
 - [DevContainer config](.devcontainer/devcontainer.json)
-- [Dockerfile](.devcontainer/Dockerfile)

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -42,7 +42,7 @@ body:
     attributes:
       label: System information
       description: |
-        * Nextflow version _(eg. 22.10.1)_
+        * Nextflow version _(eg. 23.04.0)_
         * Hardware _(eg. HPC, Desktop, Cloud)_
         * Executor _(eg. slurm, local, awsbatch)_
         * Container engine: _(e.g. Docker, Singularity, Conda, Podman, Shifter, Charliecloud, or Apptainer)_

.github/workflows/awsfulltest.yml

@@ -14,18 +14,23 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Launch workflow via tower
-        uses: seqeralabs/action-tower-launch@v1
+        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/funcscan/work-${{ github.sha }}
           parameters: |
             {
+              "hook_url": "${{ secrets.MEGATESTS_ALERTS_SLACK_HOOK_URL }}",
               "outdir": "s3://${{ secrets.AWS_S3_BUCKET }}/funcscan/results-${{ github.sha }}"
             }
-          profiles: test_full,aws_tower
+          profiles: test_full
+
       - uses: actions/upload-artifact@v3
         with:
           name: Tower debug log file
-          path: tower_action_*.log
+          path: |
+            tower_action_*.log
+            tower_action_*.json

.github/workflows/awstest.yml

@@ -12,18 +12,22 @@ jobs:
     steps:
       # Launch workflow using Tower CLI tool action
       - name: Launch workflow via tower
-        uses: seqeralabs/action-tower-launch@v1
+        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/funcscan/work-${{ github.sha }}
           parameters: |
             {
               "outdir": "s3://${{ secrets.AWS_S3_BUCKET }}/funcscan/results-test-${{ github.sha }}"
             }
-          profiles: test,aws_tower
+          profiles: test
+
       - uses: actions/upload-artifact@v3
         with:
           name: Tower debug log file
-          path: tower_action_*.log
+          path: |
+            tower_action_*.log
+            tower_action_*.json

.github/workflows/ci.yml

@@ -24,7 +24,7 @@ jobs:
     strategy:
       matrix:
         NXF_VER:
-          - "22.10.1"
+          - "23.04.0"
           - "latest-everything"
         parameters:
           - "--annotation_tool prodigal"
@@ -52,7 +52,7 @@ jobs:
     strategy:
       matrix:
         NXF_VER:
-          - "22.10.1"
+          - "23.04.0"
           - "latest-everything"
         parameters:
           - "--annotation_tool prodigal"
@@ -80,7 +80,7 @@ jobs:
     strategy:
       matrix:
         NXF_VER:
-          - "22.10.1"
+          - "23.04.0"
           - "latest-everything"
         parameters:
           - "--annotation_tool bakta --annotation_bakta_db_downloadtype light"

.gitpod.yml

@@ -1,4 +1,9 @@
 image: nfcore/gitpod:latest
+tasks:
+  - name: Update Nextflow and setup pre-commit
+    command: |
+      pre-commit install --install-hooks
+      nextflow self-update
 
 vscode:
   extensions: # based on nf-core.nf-core-extensionpack

CITATIONS.md

@@ -20,7 +20,7 @@
 
 - [AMPlify](https://doi.org/10.1186/s12864-022-08310-4)
 
-  > CLi, C., Sutherland, D., Hammond, S. A., Yang, C., Taho, F., Bergman, L., Houston, S., Warren, R. L., Wong, T., Hoang, L., Cameron, C. E., Helbing, C. C., & Birol, I. (2022). AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens. BMC genomics, 23(1), 77. [DOI: 10.1186/s12864-022-08310-4](https://doi.org/10.1186/s12864-022-08310-4)
+  > Li, C., Sutherland, D., Hammond, S. A., Yang, C., Taho, F., Bergman, L., Houston, S., Warren, R. L., Wong, T., Hoang, L., Cameron, C. E., Helbing, C. C., & Birol, I. (2022). AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens. BMC genomics, 23(1), 77. [DOI: 10.1186/s12864-022-08310-4](https://doi.org/10.1186/s12864-022-08310-4)
 
 - [AMRFinderPlus](https://doi.org/10.1038/s41598-021-91456-0)
 
@@ -34,6 +34,14 @@
 
   > Schwengers, O., Jelonek, L., Dieckmann, M. A., Beyvers, S., Blom, J., & Goesmann, A. (2021). Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Microbial Genomics, 7(11). [DOI: 10.1099/mgen.0.000685](https://doi.org/10.1099/mgen.0.000685)
 
+- [bioawk](https://github.com/lh3/bioawk)
+
+  > Li, H. (2023). bioawk: BWK awk modified for biological data. Github. Retrieved July 12, 2023, from https://github.com/lh3/bioawk
+
+- [comBGC](https://github.com/nf-core/funcscan)
+
+  > Frangenberg, J., Fellows Yates, J. A., Ibrahim, A., Perelo, L., & Beber, M. E. (2023). nf-core/funcscan: 1.0.0 - German Rollmops - 2023-02-15. https://doi.org/10.5281/zenodo.7643100
+
 - [DeepARG](https://doi.org/10.1186/s40168-018-0401-z)
 
   > Arango-Argoty, G., Garner, E., Pruden, A., Heath, L. S., Vikesland, P., & Zhang, L. (2018). DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome, 6(1), 23. [DOI: 10.1186/s40168-018-0401-z](https://doi.org/10.1186/s40168-018-0401-z)
@@ -58,6 +66,10 @@
 
   > Ibrahim, A. & Perelo, L. (2023). Darcy220606/AMPcombi. [DOI: 10.5281/zenodo.7639121](https://doi.org/10.5281/zenodo.7639121).
 
+- [hAMRonization](https://github.com/pha4ge/hAMRonization)
+
+  > Maguire, F., Fornika, D., Mendes, I., Phelan, J., Underwood, A., Witney, A., pvanheus, Manuele, A., Lee, T., amos, & imendes. (2023). pha4ge/hAMRonization: Zenodo Release. Zenodo. https://doi.org/10.5281/ZENODO.8131134
+
 - [HMMER](https://doi.org/10.1371/journal.pcbi.1002195.)
 
   > Eddy S. R. (2011). Accelerated Profile HMM Searches. PLoS computational biology, 7(10), e1002195. [DOI: 10.1371/journal.pcbi.1002195](https://doi.org/10.1371/journal.pcbi.1002195)
@@ -98,5 +110,8 @@
 
 - [Docker](https://dl.acm.org/doi/10.5555/2600239.2600241)
 
+  > Merkel, D. (2014). Docker: lightweight linux containers for consistent development and deployment. Linux Journal, 2014(239), 2. doi: 10.5555/2600239.2600241.
+
 - [Singularity](https://pubmed.ncbi.nlm.nih.gov/28494014/)
-  > Kurtzer, G. M., Sochat, V., & Bauer, M. W. (2017). Singularity: Scientific containers for mobility of compute. PloS one, 12(5), e0177459. [DOI: 10.1371/journal.pone.0177459](https://doi.org/10.1371/journal.pone.0177459)
+
+  > Kurtzer GM, Sochat V, Bauer MW. Singularity: Scientific containers for mobility of compute. PLoS One. 2017 May 11;12(5):e0177459. doi: 10.1371/journal.pone.0177459. eCollection 2017. PubMed PMID: 28494014; PubMed Central PMCID: PMC5426675.

README.md

@@ -1,7 +1,8 @@
 # ![nf-core/funscan](docs/images/nf-core-funcscan_logo_flat_light.png#gh-light-mode-only) ![nf-core/funscan](docs/images/nf-core-funcscan_logo_flat_dark.png#gh-dark-mode-only)
 
 [![AWS CI](https://img.shields.io/badge/CI%20tests-full%20size-FF9900?labelColor=000000&logo=Amazon%20AWS)](https://nf-co.re/funcscan/results)[![Cite with Zenodo](http://img.shields.io/badge/DOI-10.5281/zenodo.7643099-1073c8?labelColor=000000)](https://doi.org/10.5281/zenodo.7643099)
-[![Nextflow](https://img.shields.io/badge/nextflow%20DSL2-%E2%89%A522.10.1-23aa62.svg)](https://www.nextflow.io/)
+[![Nextflow](https://img.shields.io/badge/nextflow%20DSL2-%E2%89%A523.04.0-23aa62.svg)](https://www.nextflow.io/)
+
 [![run with conda](http://img.shields.io/badge/run%20with-conda-3EB049?labelColor=000000&logo=anaconda)](https://docs.conda.io/en/latest/)
 [![run with docker](https://img.shields.io/badge/run%20with-docker-0db7ed?labelColor=000000&logo=docker)](https://www.docker.com/)
 [![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)
@@ -67,11 +68,11 @@ nextflow run nf-core/funcscan \
 > provided by the `-c` Nextflow option can be used to provide any configuration _**except for parameters**_;
 > see [docs](https://nf-co.re/usage/configuration#custom-configuration-files).
 
-For more details, please refer to the [usage documentation](https://nf-co.re/funcscan/usage) and the [parameter documentation](https://nf-co.re/funcscan/parameters).
+For more details and further functionality, please refer to the [usage documentation](https://nf-co.re/funcscan/usage) and the [parameter documentation](https://nf-co.re/funcscan/parameters).
 
 ## Pipeline output
 
-To see the the results of a test run with a full size dataset refer to the [results](https://nf-co.re/funcscan/results) tab on the nf-core website pipeline page.
+To see the results of an example test run with a full size dataset refer to the [results](https://nf-co.re/funcscan/results) tab on the nf-core website pipeline page.
 For more details about the output files and reports, please refer to the
 [output documentation](https://nf-co.re/funcscan/output).
 

assets/methods_description_template.yml

@@ -3,17 +3,21 @@ description: "Suggested text and references to use when describing pipeline usag
 section_name: "nf-core/funcscan Methods Description"
 section_href: "https://github.com/nf-core/funcscan"
 plot_type: "html"
-## TODO nf-core: Update the HTML below to your prefered methods description, e.g. add publication citation for this pipeline
+## TODO nf-core: Update the HTML below to your preferred methods description, e.g. add publication citation for this pipeline
 ## You inject any metadata in the Nextflow '${workflow}' object
 data: |
   <h4>Methods</h4>
-  <p>Data was processed using nf-core/funcscan v${workflow.manifest.version} ${doi_text} of the nf-core collection of workflows (<a href="https://doi.org/10.1038/s41587-020-0439-x">Ewels <em>et al.</em>, 2020</a>).</p>
+  <p>Data was processed using nf-core/funcscan v${workflow.manifest.version} ${doi_text} of the nf-core collection of workflows (<a href="https://doi.org/10.1038/s41587-020-0439-x">Ewels <em>et al.</em>, 2020</a>), utilising reproducible software environments from the Bioconda (<a href="https://doi.org/10.1038/s41592-018-0046-7">Grüning <em>et al.</em>, 2018</a>) and Biocontainers (<a href="https://doi.org/10.1093/bioinformatics/btx192">da Veiga Leprevost <em>et al.</em>, 2017</a>) projects.</p>
   <p>The pipeline was executed with Nextflow v${workflow.nextflow.version} (<a href="https://doi.org/10.1038/nbt.3820">Di Tommaso <em>et al.</em>, 2017</a>) with the following command:</p>
   <pre><code>${workflow.commandLine}</code></pre>
+  <p>${tool_citations}</p>
   <h4>References</h4>
   <ul>
-    <li>Di Tommaso, P., Chatzou, M., Floden, E. W., Barja, P. P., Palumbo, E., & Notredame, C. (2017). Nextflow enables reproducible computational workflows. Nature Biotechnology, 35(4), 316-319. <a href="https://doi.org/10.1038/nbt.3820">https://doi.org/10.1038/nbt.3820</a></li>
-    <li>Ewels, P. A., Peltzer, A., Fillinger, S., Patel, H., Alneberg, J., Wilm, A., Garcia, M. U., Di Tommaso, P., & Nahnsen, S. (2020). The nf-core framework for community-curated bioinformatics pipelines. Nature Biotechnology, 38(3), 276-278. <a href="https://doi.org/10.1038/s41587-020-0439-x">https://doi.org/10.1038/s41587-020-0439-x</a></li>
+    <li>Di Tommaso, P., Chatzou, M., Floden, E. W., Barja, P. P., Palumbo, E., & Notredame, C. (2017). Nextflow enables reproducible computational workflows. Nature Biotechnology, 35(4), 316-319. doi: <a href="https://doi.org/10.1038/nbt.3820">10.1038/nbt.3820</a></li>
+    <li>Ewels, P. A., Peltzer, A., Fillinger, S., Patel, H., Alneberg, J., Wilm, A., Garcia, M. U., Di Tommaso, P., & Nahnsen, S. (2020). The nf-core framework for community-curated bioinformatics pipelines. Nature Biotechnology, 38(3), 276-278. doi: <a href="https://doi.org/10.1038/s41587-020-0439-x">10.1038/s41587-020-0439-x</a></li>
+    <li>Grüning, B., Dale, R., Sjödin, A., Chapman, B. A., Rowe, J., Tomkins-Tinch, C. H., Valieris, R., Köster, J., & Bioconda Team. (2018). Bioconda: sustainable and comprehensive software distribution for the life sciences. Nature Methods, 15(7), 475–476. doi: <a href="https://doi.org/10.1038/s41592-018-0046-7">10.1038/s41592-018-0046-7</a></li>
+    <li>da Veiga Leprevost, F., Grüning, B. A., Alves Aflitos, S., Röst, H. L., Uszkoreit, J., Barsnes, H., Vaudel, M., Moreno, P., Gatto, L., Weber, J., Bai, M., Jimenez, R. C., Sachsenberg, T., Pfeuffer, J., Vera Alvarez, R., Griss, J., Nesvizhskii, A. I., & Perez-Riverol, Y. (2017). BioContainers: an open-source and community-driven framework for software standardization. Bioinformatics (Oxford, England), 33(16), 2580–2582. doi: <a href="https://doi.org/10.1093/bioinformatics/btx192">10.1093/bioinformatics/btx192</a></li>
+    ${tool_bibliography}
   </ul>
   <div class="alert alert-info">
     <h5>Notes:</h5>

assets/multiqc_config.yml

@@ -1,7 +1,7 @@
 report_comment: >
-  This report has been generated by the <a href="https://github.com/nf-core/funcscan" target="_blank">nf-core/funcscan</a>
+  This report has been generated by the <a href="https://github.com/nf-core/funcscan/1.1.3dev" target="_blank">nf-core/funcscan</a>
   analysis pipeline. For information about how to interpret these results, please see the
-  <a href="https://nf-co.re/funcscan" target="_blank">documentation</a>.
+  <a href="https://nf-co.re/funcscan/1.1.3dev/output" target="_blank">documentation</a>.
 report_section_order:
   "nf-core-funcscan-methods-description":
     order: -1000

assets/nf-core-funcscan_logo_light.png

@@ -3,7 +3,7 @@
         {
             "fallback": "Plain-text summary of the attachment.",
             "color": "<% if (success) { %>good<% } else { %>danger<%} %>",
-            "author_name": "sanger-tol/readmapping v${version} - ${runName}",
+            "author_name": "nf-core/funcscan v${version} - ${runName}",
             "author_icon": "https://www.nextflow.io/docs/latest/_static/favicon.ico",
             "text": "<% if (success) { %>Pipeline completed successfully!<% } else { %>Pipeline completed with errors<% } %>",
             "fields": [

assets/slackreport.json

@@ -10,8 +10,6 @@
 ----------------------------------------------------------------------------------------
 */
 
-cleanup = true
-
 params {
     config_profile_name        = 'Full test profile'
     config_profile_description = 'Full test dataset to check pipeline function'

conf/test_full.config

@@ -249,7 +249,8 @@ If you wish to repeatedly use the same parameters for multiple runs, rather than
 Pipeline settings can be provided in a `yaml` or `json` file via `-params-file <file>`.
 
 > ⚠️ Do not use `-c <file>` to specify parameters as this will result in errors. Custom config files specified with `-c` must only be used for [tuning process resource specifications](https://nf-co.re/docs/usage/configuration#tuning-workflow-resources), other infrastructural tweaks (such as output directories), or module arguments (args).
-> The above pipeline run specified with a params file in yaml format:
+
+The above pipeline run specified with a params file in yaml format:
 
 ```bash
 nextflow run nf-core/funcscan -profile docker -params-file params.yaml
@@ -261,7 +262,6 @@ with `params.yaml` containing:
 input: './samplesheet.csv'
 outdir: './results/'
 genome: 'GRCh37'
-input: 'data'
 <...>
 ```