We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:
- Reporting a bug
- Discussing the current state of the code
- Submitting a fix
- Proposing new features
- Becoming a maintainer
We use github to host code, to track issues and feature requests, as well as accept pull requests.
We Use Github Flow, So All Code Changes Happen Through Pull Requests
Pull requests are the best way to propose changes to the codebase (we use Github Flow). We actively welcome your pull requests:
- Fork the repo and create your branch from
master
. - If you've added code that should be tested, add tests.
- If you've changed pipeline or the interface, update the documentation.
- Ensure the test suite passes.
- Issue that pull request!
The repository is organized as follows:
main.nf
holds all the Nextflow codeenvironment-yml
defines all conda dependenciesnextflow.config
contains the nextflow configurationbin
folder contains the Python code for the variant calling over the FASTA file. Any other custom code shall be added here.reference
folder contains all reference files for SARS-CoV-2 which are used by default. To use CoVigator pipeline for a different organism these resources will need to be provided.
Execute the following to run the tests:
make
All test data is in the repository, but you will need Nextflow and conda installed.
These tests are automated in a private Gitlab instance, we may migrate this to GitHub CI system in the future.
In short, when you submit code changes, your submissions are understood to be under the same MIT License that covers the project. Feel free to contact the maintainers if that's a concern.
Report bugs using Github's issues
We use GitHub issues to track public bugs. Report a bug by opening a new issue; it's that easy!
This is an example of a bug report I wrote, and I think it's not a bad model. Here's another example from Craig Hockenberry, an app developer whom I greatly respect.
Great Bug Reports tend to have:
- A quick summary and/or background
- Steps to reproduce
- Be specific!
- Give sample code if you can. My stackoverflow question includes sample code that anyone with a base R setup can run to reproduce what I was seeing
- What you expected would happen
- What actually happens
- Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)
By contributing, you agree that your contributions will be licensed under its MIT License.
This document was adapted from https://gist.github.com/briandk/3d2e8b3ec8daf5a27a62