Hi there! Many thanks for taking an interest in improving nf-core/eager.
We try to manage the required tasks for nf-core/eager 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/eager then the best place to ask is on the nf-core Slack #eager channel (join our Slack here).
If you'd like to write some code for nf-core/eager, the standard workflow is as follows:
- Check that there isn't already an issue about your idea in the nf-core/eager issues to avoid duplicating work
- If there isn't one already, please create one so that others know you're working on this
- Fork the nf-core/eager repository to your GitHub account
- Make the necessary changes / additions within your forked repository following Pipeline conventions
- Use
nf-core schema build .
and add any new parameters to the pipeline JSON schema (requires nf-core tools >= 1.10). - 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 or even their excellent git
resources.
When you create a pull request with changes, GitHub 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:
nf-core
has a set of 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 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.
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.
- On your own fork, make a new branch
patch
based onupstream/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.
For further information/help, please consult the nf-core/eager documentation and don't hesitate to get in touch on the nf-core Slack #eager channel (join our Slack here).
To make the nf-core/eager 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.
If you wish to contribute a new step, please use the following coding standards:
- Define the corresponding input channel into your new process from the expected previous process channel
- Write the process block (see below).
- Define the output channel if needed (see below).
- Add any new flags/options to
nextflow.config
with a default (see below). - Add any new flags/options to
nextflow_schema.json
with help text (withnf-core schema build .
) - Add any new flags/options to the help message (for integer/text parameters, print to help the corresponding
nextflow.config
parameter). - Add sanity checks for all relevant parameters.
- Add any new software to the
scrape_software_versions.py
script inbin/
and the version command to thescrape_software_versions
process inmain.nf
. - Do local tests that the new code works properly and as expected.
- Add a new test command in
.github/workflow/ci.yaml
. - If applicable add a MultiQC module.
- 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. - Optional: Add any descriptions of MultiQC report sections and output files to
docs/output.md
.
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
.
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, 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.
base.config
!
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.
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>
- skipped process output:
ch_<previousstage>_for_<skipprocess>
(this goes out of the bypass statement described above)
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]
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:
<YOUR_TOOL> --version &> v_<YOUR_TOOL>.txt 2>&1 || true
or
<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:
- Add a Python regex for your tool's
--version
output (as in stored in thev_<YOUR_TOOL>.txt
file), to ensure the version is reported as av
and the version number e.g.v2.1.1
- Add a HTML entry to the
OrderedDict
for formatting in MultiQC.
For overview images and other documents we follow the nf-core style guidelines and examples.
For all internal nf-core/eager documentation images we are using the 'Kalam' font by the Indian Type Foundry and licensed under the Open Font License. It can be found for download here here.
We are providing a highly configurable pipeline, with many options to turn on and off different processes in different combinations. This can make a very complex graph structure that can cause a large amount of duplicated channels coming out of every process to account for each possible combination.
The EAGER pipeline can currently be broken down into the following 'stages', where a stage is a collection of non-terminal mutually exclusive processes, which is the output of which is used for another file reporting module (but not reporting!) .
- Input
- Convert BAM
- PolyG Clipping
- AdapterRemoval
- Mapping (either
bwa
,bwamem
, orcircularmapper
) - BAM Filtering
- Deduplication (either
dedup
ormarkduplicates
) - BAM Trimming
- PMDtools
- Genotyping
Every step can potentially be skipped, therefore the output of a previous stage must be able to be passed to the next stage, if the given stage is not run.
To somewhat simplify this logic, we have implemented the following structure.
The concept is as follows:
- Every 'stage' of the pipeline (i.e. collection of mutually exclusive processes) must always have a if else statement following it.
- This if else 'bypass' statement collects and standardises all possible input files into single channel(s) for the next stage.
- Importantly - within the bypass statement, a channel from the previous stage's bypass mixes into these output channels. This additional channel is named
ch_previousstage_for_skipcurrentstage
. This contains the output from the previous stage, i.e. not the modified version from the current stage. - The bypass statement works as follows:
- If the current stage is turned on: will mix the previous stage and current stage output and filter for file suffixes unique to the current stage output
- If the current stage is turned off or skipped: will mix the previous stage and current stage output. However as there there is no files in the output channel from the current stage, no filtering is required and the files in the 'ch_XXX_for_skipXXX' stage will be used.
This ensures the same channel inputs to the next stage is 'homogeneous' - i.e. all comes from the same source (the bypass statement)
An example schematic can be given as follows
// PREVIOUS STAGE OUTPUT
if (params.run_bam_filtering) {
ch_input_for_skipconvertbam.mix(ch_output_ch_convertbam)
.filter{ it =~/.*converted.fq/}
.into { ch_convertbam_for_fastp; ch_convertbam_for_skipfastp }
} else {
ch_input_for_skipconvertbam
.into { ch_convertbam_for_fastp; ch_convertbam_for_skipfastp }
}
// SKIPPABLE CURRENT STAGE PROCESS
process fastp {
publishDir "${params.outdir}/fastp", mode: 'copy'
when:
params.run_fastp
input:
file fq from ch_convertbam_for_fastp
output:
file "*pG.fq" into ch_output_from_fastp
script:
"""
echo "I have been fastp'd" > ${fq}
mv ${fq} ${fq}.pG.fq
"""
}
// NEXT STAGE INPUT PREPARATION
if (params.run_fastp) {
ch_convertbam_for_skipfastp.mix(ch_output_from_fastp)
.filter { it =~/.*pG.fq/ }
.into { ch_fastp_for_adapterremoval; ch_fastp_for_skipadapterremoval }
} else {
ch_convertbam_for_skipfastp
.into { ch_fastp_for_adapterremoval; ch_fastp_for_skipadapterremoval }
}