Bump node-version to 16

.github/workflows/markdown-lint.yml

@@ -7,9 +7,7 @@ jobs:
     steps:
       - uses: actions/checkout@v2
 
-      - uses: actions/setup-node@v1
-        with:
-          node-version: "10"
+      - uses: actions/setup-node@v2
 
       - name: Install markdownlint
         run: npm install -g markdownlint-cli

CHANGELOG.md

@@ -8,6 +8,7 @@
 * Replaced equals with ~ in nf-core headers, to stop false positive unresolved conflict errors when committing with VSCode.
 * Add retry strategy for AWS megatests after releasing [nf-core/tower-action v2.2](https://github.com/nf-core/tower-action/releases/tag/v2.2)
 * Update igenomes path to the `BWAIndex` to fetch the whole `version0.6.0` folder instead of only the `genome.fa` file
+* Remove pinned Node version in the GitHub Actions workflows, to fix errors with `markdownlint`
 
 ## General
 

README.md

@@ -925,7 +925,7 @@ github.com:
     git_protocol: <ssh or https are valid choices>
 ```
 
-The easiest way to create this configuration file is through *GitHub CLI*: follow
+The easiest way to create this configuration file is through _GitHub CLI_: follow
 its [installation instructions](https://cli.github.com/manual/installation)
 and then call:
 

nf_core/pipeline-template/.github/workflows/linting.yml

@@ -12,9 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v2
-      - uses: actions/setup-node@v1
-        with:
-          node-version: '10'
+      - uses: actions/setup-node@v2
       - name: Install markdownlint
         run: npm install -g markdownlint-cli
       - name: Run Markdownlint
@@ -51,9 +49,7 @@ jobs:
     steps:
       - uses: actions/checkout@v2
 
-      - uses: actions/setup-node@v1
-        with:
-          node-version: '10'
+      - uses: actions/setup-node@v2
 
       - name: Install editorconfig-checker
         run: npm install -g editorconfig-checker
@@ -65,9 +61,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v1
-      - uses: actions/setup-node@v1
-        with:
-          node-version: '10'
+      - uses: actions/setup-node@v2
       - name: Install yaml-lint
         run: npm install -g yaml-lint
       - name: Run yaml-lint

nf_core/pipeline-template/docs/usage.md

@@ -169,7 +169,13 @@ Work dir:
 Tip: you can replicate the issue by changing to the process work dir and entering the command `bash .command.run`
 ```
 
-To bypass this error you would need to find exactly which resources are set by the `STAR_ALIGN` process. The quickest way is to search for `process STAR_ALIGN` in the [nf-core/rnaseq Github repo](https://github.com/nf-core/rnaseq/search?q=process+STAR_ALIGN). We have standardised the structure of Nextflow DSL2 pipelines such that all module files will be present in the `modules/` directory and so based on the search results the file we want is `modules/nf-core/software/star/align/main.nf`. If you click on the link to that file you will notice that there is a `label` directive at the top of the module that is set to [`label process_high`](https://github.com/nf-core/rnaseq/blob/4c27ef5610c87db00c3c5a3eed10b1d161abf575/modules/nf-core/software/star/align/main.nf#L9). The [Nextflow `label`](https://www.nextflow.io/docs/latest/process.html#label) directive allows us to organise workflow processes in separate groups which can be referenced in a configuration file to select and configure subset of processes having similar computing requirements. The default values for the `process_high` label are set in the pipeline's [`base.config`](https://github.com/nf-core/rnaseq/blob/4c27ef5610c87db00c3c5a3eed10b1d161abf575/conf/base.config#L33-L37) which in this case is defined as 72GB. Providing you haven't set any other standard nf-core parameters to __cap__ the [maximum resources](https://nf-co.re/usage/configuration#max-resources) used by the pipeline then we can try and bypass the `STAR_ALIGN` process failure by creating a custom config file that sets at least 72GB of memory, in this case increased to 100GB. The custom config below can then be provided to the pipeline via the [`-c`](#-c) parameter as highlighted in previous sections.
+To bypass this error you would need to find exactly which resources are set by the `STAR_ALIGN` process. The quickest way is to search for `process STAR_ALIGN` in the [nf-core/rnaseq Github repo](https://github.com/nf-core/rnaseq/search?q=process+STAR_ALIGN).
+We have standardised the structure of Nextflow DSL2 pipelines such that all module files will be present in the `modules/` directory and so based on the search results the file we want is `modules/nf-core/software/star/align/main.nf`.
+If you click on the link to that file you will notice that there is a `label` directive at the top of the module that is set to [`label process_high`](https://github.com/nf-core/rnaseq/blob/4c27ef5610c87db00c3c5a3eed10b1d161abf575/modules/nf-core/software/star/align/main.nf#L9).
+The [Nextflow `label`](https://www.nextflow.io/docs/latest/process.html#label) directive allows us to organise workflow processes in separate groups which can be referenced in a configuration file to select and configure subset of processes having similar computing requirements.
+The default values for the `process_high` label are set in the pipeline's [`base.config`](https://github.com/nf-core/rnaseq/blob/4c27ef5610c87db00c3c5a3eed10b1d161abf575/conf/base.config#L33-L37) which in this case is defined as 72GB.
+Providing you haven't set any other standard nf-core parameters to **cap** the [maximum resources](https://nf-co.re/usage/configuration#max-resources) used by the pipeline then we can try and bypass the `STAR_ALIGN` process failure by creating a custom config file that sets at least 72GB of memory, in this case increased to 100GB.
+The custom config below can then be provided to the pipeline via the [`-c`](#-c) parameter as highlighted in previous sections.
 
 ```nextflow
 process {
@@ -179,7 +185,8 @@ process {
 }
 ```
 
-> **NB:** We specify just the process name i.e. `STAR_ALIGN` in the config file and not the full task name string that is printed to screen in the error message or on the terminal whilst the pipeline is running i.e. `RNASEQ:ALIGN_STAR:STAR_ALIGN`. You may get a warning suggesting that the process selector isn't recognised but you can ignore that if the process name has been specified correctly. This is something that needs to be fixed upstream in core Nextflow.
+> **NB:** We specify just the process name i.e. `STAR_ALIGN` in the config file and not the full task name string that is printed to screen in the error message or on the terminal whilst the pipeline is running i.e. `RNASEQ:ALIGN_STAR:STAR_ALIGN`.
+> You may get a warning suggesting that the process selector isn't recognised but you can ignore that if the process name has been specified correctly. This is something that needs to be fixed upstream in core Nextflow.
 
 ### Updating containers