# nf-core/rnaseq: Contributing Guidelines

Hi there!
Many thanks for taking an interest in improving nf-core/rnaseq.

We try to manage the required tasks for nf-core/rnaseq using GitHub issues, you probably came to this page when creating one.
Please use the pre-filled template to save time.

However, don't be put off by this template - other more general issues and suggestions are welcome!
Contributions to the code are even more welcome ;)

> If you need help using or modifying nf-core/rnaseq then the best place to ask is on the nf-core Slack [#rnaseq](https://nfcore.slack.com/channels/rnaseq) channel ([join our Slack here](https://nf-co.re/join/slack)).

## Contribution workflow

If you'd like to write some code for nf-core/rnaseq, the standard workflow is as follows:

1. Check that there isn't already an issue about your idea in the [nf-core/rnaseq issues](https://github.com/nf-core/rnaseq/issues) to avoid duplicating work
    * If there isn't one already, please create one so that others know you're working on this
2. [Fork](https://help.github.com/en/github/getting-started-with-github/fork-a-repo) the [nf-core/rnaseq repository](https://github.com/nf-core/rnaseq) to your GitHub account
3. Make the necessary changes / additions within your forked repository following [Pipeline conventions](#pipeline-contribution-conventions)
4. Use `nf-core schema build` and add any new parameters to the pipeline JSON schema (requires [nf-core tools](https://github.com/nf-core/tools) >= 1.10).
5. Submit a Pull Request against the `dev` branch and wait for the code to be reviewed and merged

If you're not used to this workflow with git, you can start with some [docs from GitHub](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests) or even their [excellent `git` resources](https://try.github.io/).

## Tests

When you create a pull request with changes, [GitHub Actions](https://github.com/features/actions) will run automatic tests.
Typically, pull-requests are only fully reviewed when these tests are passing, though of course we can help out before then.

There are typically two types of tests that run:

### Lint tests

`nf-core` has a [set of guidelines](https://nf-co.re/developers/guidelines) which all pipelines must adhere to.
To enforce these and ensure that all pipelines stay in sync, we have developed a helper tool which runs checks on the pipeline code. This is in the [nf-core/tools repository](https://github.com/nf-core/tools) and once installed can be run locally with the `nf-core lint <pipeline-directory>` command.

If any failures or warnings are encountered, please follow the listed URL for more documentation.

### Pipeline tests

Each `nf-core` pipeline should be set up with a minimal set of test-data.
`GitHub Actions` then runs the pipeline on this data to ensure that it exits successfully.
If there are any failures then the automated tests fail.
These tests are run both with the latest available version of `Nextflow` and also the minimum required version that is stated in the pipeline code.

## Patch

:warning: Only in the unlikely and regretful event of a release happening with a bug.

* On your own fork, make a new branch `patch` based on `upstream/master`.
* Fix the bug, and bump version (X.Y.Z+1).
* A PR should be made on `master` from patch to directly this particular bug.

## Getting help

For further information/help, please consult the [nf-core/rnaseq documentation](https://nf-co.re/rnaseq/usage) and don't hesitate to get in touch on the nf-core Slack [#rnaseq](https://nfcore.slack.com/channels/rnaseq) channel ([join our Slack here](https://nf-co.re/join/slack)).

## Pipeline contribution conventions

To make the nf-core/rnaseq code and processing logic more understandable for new contributors and to ensure quality, we semi-standardise the way the code and other contributions are written.

### Adding a new step

If you wish to contribute a new step, please use the following coding standards:

1. Define the corresponding input channel into your new process from the expected previous process channel
2. Write the process block (see below).
3. Define the output channel if needed (see below).
4. Add any new flags/options to `nextflow.config` with a default (see below).
5. Add any new flags/options to `nextflow_schema.json` with help text (with `nf-core schema build`).
6. Add any new flags/options to the help message (for integer/text parameters, print to help the corresponding `nextflow.config` parameter).
7. Add sanity checks for all relevant parameters.
8. Add any new software to the `scrape_software_versions.py` script in `bin/` and the version command to the `scrape_software_versions` process in `main.nf`.
9. Do local tests that the new code works properly and as expected.
10. Add a new test command in `.github/workflow/ci.yml`.
11. If applicable add a [MultiQC](https://https://multiqc.info/) module.
12. Update MultiQC config `assets/multiqc_config.yaml` so relevant suffixes, name clean up, General Statistics Table column order, and module figures are in the right order.
13. Optional: Add any descriptions of MultiQC report sections and output files to `docs/output.md`.

### Default values

Parameters should be initialised / defined with default values in `nextflow.config` under the `params` scope.

Once there, use `nf-core schema build` to add to `nextflow_schema.json`.

### Default processes resource requirements

Sensible defaults for process resource requirements (CPUs / memory / time) for a process should be defined in `conf/base.config`. These should generally be specified generic with `withLabel:` selectors so they can be shared across multiple processes/steps of the pipeline. A nf-core standard set of labels that should be followed where possible can be seen in the [nf-core pipeline template](https://github.com/nf-core/tools/blob/master/nf_core/pipeline-template/conf/base.config), which has the default process as a single core-process, and then different levels of multi-core configurations for increasingly large memory requirements defined with standardised labels.

The process resources can be passed on to the tool dynamically within the process with the `${task.cpu}` and `${task.memory}` variables in the `script:` block.

### Naming schemes

Please use the following naming schemes, to make it easy to understand what is going where.

* initial process channel: `ch_output_from_<process>`
* intermediate and terminal channels: `ch_<previousprocess>_for_<nextprocess>`

### Nextflow version bumping

If you are using a new feature from core Nextflow, you may bump the minimum required version of nextflow in the pipeline with: `nf-core bump-version --nextflow . [min-nf-version]`

### Software version reporting

If you add a new tool to the pipeline, please ensure you add the information of the tool to the `get_software_version` process.

Add to the script block of the process, something like the following:

```bash
<YOUR_TOOL> --version &> v_<YOUR_TOOL>.txt 2>&1 || true
```

or

```bash
<YOUR_TOOL> --help | head -n 1 &> v_<YOUR_TOOL>.txt 2>&1 || true
```

You then need to edit the script `bin/scrape_software_versions.py` to:

1. Add a Python regex for your tool's `--version` output (as in stored in the `v_<YOUR_TOOL>.txt` file), to ensure the version is reported as a `v` and the version number e.g. `v2.1.1`
2. Add a HTML entry to the `OrderedDict` for formatting in MultiQC.

### Images and figures

For overview images and other documents we follow the nf-core [style guidelines and examples](https://nf-co.re/developers/design_guidelines).
