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Template update for nf-core/tools version 2.8

This commit is contained in:
nf-core-bot 2023-04-28 14:26:38 +00:00
parent ab591e01ff
commit ac60d66956
31 changed files with 201 additions and 165 deletions

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@ -8,7 +8,7 @@ trim_trailing_whitespace = true
indent_size = 4
indent_style = space
[*.{md,yml,yaml,html,css,scss,js,cff}]
[*.{md,yml,yaml,html,css,scss,js}]
indent_size = 2
# These files are edited and tested upstream in nf-core/modules

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@ -45,6 +45,6 @@ body:
* Nextflow version _(eg. 22.10.1)_
* Hardware _(eg. HPC, Desktop, Cloud)_
* Executor _(eg. slurm, local, awsbatch)_
* Container engine: _(e.g. Docker, Singularity, Conda, Podman, Shifter or Charliecloud)_
* Container engine: _(e.g. Docker, Singularity, Conda, Podman, Shifter, Charliecloud, or Apptainer)_
* OS _(eg. CentOS Linux, macOS, Linux Mint)_
* Version of nf-core/taxprofiler _(eg. 1.1, 1.5, 1.8.2)_

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@ -15,7 +15,8 @@ Learn more about contributing: [CONTRIBUTING.md](https://github.com/nf-core/taxp
- [ ] This comment contains a description of changes (with reason).
- [ ] If you've fixed a bug or added code that should be tested, add tests!
- [ ] If you've added a new tool - have you followed the pipeline conventions in the [contribution docs](https://github.com/nf-core/taxprofiler/tree/master/.github/CONTRIBUTING.md)- [ ] If necessary, also make a PR on the nf-core/taxprofiler _branch_ on the [nf-core/test-datasets](https://github.com/nf-core/test-datasets) repository.
- [ ] If you've added a new tool - have you followed the pipeline conventions in the [contribution docs](https://github.com/nf-core/taxprofiler/tree/master/.github/CONTRIBUTING.md)
- [ ] If necessary, also make a PR on the nf-core/taxprofiler _branch_ on the [nf-core/test-datasets](https://github.com/nf-core/test-datasets) repository.
- [ ] Make sure your code lints (`nf-core lint`).
- [ ] Ensure the test suite passes (`nextflow run . -profile test,docker --outdir <OUTDIR>`).
- [ ] Usage Documentation in `docs/usage.md` is updated.

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@ -14,7 +14,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Launch workflow via tower
uses: nf-core/tower-action@v3
uses: seqeralabs/action-tower-launch@v1
# TODO nf-core: You can customise AWS full pipeline tests as required
# Add full size test data (but still relatively small datasets for few samples)
# on the `test_full.config` test runs with only one set of parameters

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@ -12,7 +12,7 @@ jobs:
steps:
# Launch workflow using Tower CLI tool action
- name: Launch workflow via tower
uses: nf-core/tower-action@v3
uses: seqeralabs/action-tower-launch@v1
with:
workspace_id: ${{ secrets.TOWER_WORKSPACE_ID }}
access_token: ${{ secrets.TOWER_ACCESS_TOKEN }}

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@ -13,7 +13,7 @@ jobs:
- name: Check PRs
if: github.repository == 'nf-core/taxprofiler'
run: |
{ [[ ${{github.event.pull_request.head.repo.full_name }} == nf-core/taxprofiler ]] && [[ $GITHUB_HEAD_REF = "dev" ]]; } || [[ $GITHUB_HEAD_REF == "patch" ]]
{ [[ ${{github.event.pull_request.head.repo.full_name }} == nf-core/taxprofiler ]] && [[ $GITHUB_HEAD_REF == "dev" ]]; } || [[ $GITHUB_HEAD_REF == "patch" ]]
# If the above check failed, post a comment on the PR explaining the failure
# NOTE - this doesn't currently work if the PR is coming from a fork, due to limitations in GitHub actions secrets

24
.github/workflows/clean-up.yml vendored Normal file
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@ -0,0 +1,24 @@
name: "Close user-tagged issues and PRs"
on:
schedule:
- cron: "0 0 * * 0" # Once a week
jobs:
clean-up:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
steps:
- uses: actions/stale@v7
with:
stale-issue-message: "This issue has been tagged as awaiting-changes or awaiting-feedback by an nf-core contributor. Remove stale label or add a comment otherwise this issue will be closed in 20 days."
stale-pr-message: "This PR has been tagged as awaiting-changes or awaiting-feedback by an nf-core contributor. Remove stale label or add a comment if it is still useful."
close-issue-message: "This issue was closed because it has been tagged as awaiting-changes or awaiting-feedback by an nf-core contributor and then staled for 20 days with no activity."
days-before-stale: 30
days-before-close: 20
days-before-pr-close: -1
any-of-labels: "awaiting-changes,awaiting-feedback"
exempt-issue-labels: "WIP"
exempt-pr-labels: "WIP"
repo-token: "${{ secrets.GITHUB_TOKEN }}"

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@ -78,7 +78,7 @@ jobs:
- uses: actions/setup-python@v4
with:
python-version: "3.7"
python-version: "3.8"
architecture: "x64"
- name: Install dependencies

5
.pre-commit-config.yaml Normal file
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@ -0,0 +1,5 @@
repos:
- repo: https://github.com/pre-commit/mirrors-prettier
rev: "v2.7.1"
hooks:
- id: prettier

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@ -3,7 +3,7 @@
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## v1.0dev - [date]
## v1.1.0dev - [date]
Initial release of nf-core/taxprofiler, created with the [nf-core](https://nf-co.re/) template.

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@ -1,6 +1,6 @@
MIT License
Copyright (c) nf-core community
Copyright (c) James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, and the nf-core/taxprofiler team
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

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@ -8,61 +8,75 @@
[![run with singularity](https://img.shields.io/badge/run%20with-singularity-1d355c.svg?labelColor=000000)](https://sylabs.io/docs/)
[![Launch on Nextflow Tower](https://img.shields.io/badge/Launch%20%F0%9F%9A%80-Nextflow%20Tower-%234256e7)](https://tower.nf/launch?pipeline=https://github.com/nf-core/taxprofiler)
[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23taxprofiler-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/taxprofiler)[![Follow on Twitter](http://img.shields.io/badge/twitter-%40nf__core-1DA1F2?labelColor=000000&logo=twitter)](https://twitter.com/nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)
[![Get help on Slack](http://img.shields.io/badge/slack-nf--core%20%23taxprofiler-4A154B?labelColor=000000&logo=slack)](https://nfcore.slack.com/channels/taxprofiler)[![Follow on Twitter](http://img.shields.io/badge/twitter-%40nf__core-1DA1F2?labelColor=000000&logo=twitter)](https://twitter.com/nf_core)[![Follow on Mastodon](https://img.shields.io/badge/mastodon-nf__core-6364ff?labelColor=FFFFFF&logo=mastodon)](https://mstdn.science/@nf_core)[![Watch on YouTube](http://img.shields.io/badge/youtube-nf--core-FF0000?labelColor=000000&logo=youtube)](https://www.youtube.com/c/nf-core)
## Introduction
<!-- TODO nf-core: Write a 1-2 sentence summary of what data the pipeline is for and what it does -->
**nf-core/taxprofiler** is a bioinformatics pipeline that ...
**nf-core/taxprofiler** is a bioinformatics best-practice analysis pipeline for Taxonomic profiling of shotgun metagenomic data.
The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It uses Docker/Singularity containers making installation trivial and results highly reproducible. The [Nextflow DSL2](https://www.nextflow.io/docs/latest/dsl2.html) implementation of this pipeline uses one container per process which makes it much easier to maintain and update software dependencies. Where possible, these processes have been submitted to and installed from [nf-core/modules](https://github.com/nf-core/modules) in order to make them available to all nf-core pipelines, and to everyone within the Nextflow community!
<!-- TODO nf-core: Add full-sized test dataset and amend the paragraph below if applicable -->
On release, automated continuous integration tests run the pipeline on a full-sized dataset on the AWS cloud infrastructure. This ensures that the pipeline runs on AWS, has sensible resource allocation defaults set to run on real-world datasets, and permits the persistent storage of results to benchmark between pipeline releases and other analysis sources.The results obtained from the full-sized test can be viewed on the [nf-core website](https://nf-co.re/taxprofiler/results).
## Pipeline summary
<!-- TODO nf-core:
Complete this sentence with a 2-3 sentence summary of what types of data the pipeline ingests, a brief overview of the
major pipeline sections and the types of output it produces. You're giving an overview to someone new
to nf-core here, in 15-20 seconds. For an example, see https://github.com/nf-core/rnaseq/blob/master/README.md#introduction
-->
<!-- TODO nf-core: Include a figure that guides the user through the major workflow steps. Many nf-core
workflows use the "tube map" design for that. See https://nf-co.re/docs/contributing/design_guidelines#examples for examples. -->
<!-- TODO nf-core: Fill in short bullet-pointed list of the default steps in the pipeline -->
1. Read QC ([`FastQC`](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/))
2. Present QC for raw reads ([`MultiQC`](http://multiqc.info/))
## Quick Start
## Usage
1. Install [`Nextflow`](https://www.nextflow.io/docs/latest/getstarted.html#installation) (`>=22.10.1`)
> **Note**
> If you are new to Nextflow and nf-core, please refer to [this page](https://nf-co.re/docs/usage/installation) on how
> to set-up Nextflow. Make sure to [test your setup](https://nf-co.re/docs/usage/introduction#how-to-run-a-pipeline)
> with `-profile test` before running the workflow on actual data.
2. Install any of [`Docker`](https://docs.docker.com/engine/installation/), [`Singularity`](https://www.sylabs.io/guides/3.0/user-guide/) (you can follow [this tutorial](https://singularity-tutorial.github.io/01-installation/)), [`Podman`](https://podman.io/), [`Shifter`](https://nersc.gitlab.io/development/shifter/how-to-use/) or [`Charliecloud`](https://hpc.github.io/charliecloud/) for full pipeline reproducibility _(you can use [`Conda`](https://conda.io/miniconda.html) both to install Nextflow itself and also to manage software within pipelines. Please only use it within pipelines as a last resort; see [docs](https://nf-co.re/usage/configuration#basic-configuration-profiles))_.
<!-- TODO nf-core: Describe the minimum required steps to execute the pipeline, e.g. how to prepare samplesheets.
Explain what rows and columns represent. For instance (please edit as appropriate):
3. Download the pipeline and test it on a minimal dataset with a single command:
First, prepare a samplesheet with your input data that looks as follows:
```bash
nextflow run nf-core/taxprofiler -profile test,YOURPROFILE --outdir <OUTDIR>
```
`samplesheet.csv`:
Note that some form of configuration will be needed so that Nextflow knows how to fetch the required software. This is usually done in the form of a config profile (`YOURPROFILE` in the example command above). You can chain multiple config profiles in a comma-separated string.
```csv
sample,fastq_1,fastq_2
CONTROL_REP1,AEG588A1_S1_L002_R1_001.fastq.gz,AEG588A1_S1_L002_R2_001.fastq.gz
```
> - The pipeline comes with config profiles called `docker`, `singularity`, `podman`, `shifter`, `charliecloud` and `conda` which instruct the pipeline to use the named tool for software management. For example, `-profile test,docker`.
> - Please check [nf-core/configs](https://github.com/nf-core/configs#documentation) to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use `-profile <institute>` in your command. This will enable either `docker` or `singularity` and set the appropriate execution settings for your local compute environment.
> - If you are using `singularity`, please use the [`nf-core download`](https://nf-co.re/tools/#downloading-pipelines-for-offline-use) command to download images first, before running the pipeline. Setting the [`NXF_SINGULARITY_CACHEDIR` or `singularity.cacheDir`](https://www.nextflow.io/docs/latest/singularity.html?#singularity-docker-hub) Nextflow options enables you to store and re-use the images from a central location for future pipeline runs.
> - If you are using `conda`, it is highly recommended to use the [`NXF_CONDA_CACHEDIR` or `conda.cacheDir`](https://www.nextflow.io/docs/latest/conda.html) settings to store the environments in a central location for future pipeline runs.
Each row represents a fastq file (single-end) or a pair of fastq files (paired end).
4. Start running your own analysis!
-->
<!-- TODO nf-core: Update the example "typical command" below used to run the pipeline -->
Now, you can run the pipeline using:
```bash
nextflow run nf-core/taxprofiler --input samplesheet.csv --outdir <OUTDIR> --genome GRCh37 -profile <docker/singularity/podman/shifter/charliecloud/conda/institute>
```
<!-- TODO nf-core: update the following command to include all required parameters for a minimal example -->
## Documentation
```bash
nextflow run nf-core/taxprofiler \
-profile <docker/singularity/.../institute> \
--input samplesheet.csv \
--outdir <OUTDIR>
```
The nf-core/taxprofiler pipeline comes with documentation about the pipeline [usage](https://nf-co.re/taxprofiler/usage), [parameters](https://nf-co.re/taxprofiler/parameters) and [output](https://nf-co.re/taxprofiler/output).
> **Warning:**
> Please provide pipeline parameters via the CLI or Nextflow `-params-file` option. Custom config files including those
> 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/taxprofiler/usage) and the [parameter documentation](https://nf-co.re/taxprofiler/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/taxprofiler/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/taxprofiler/output).
## Credits
nf-core/taxprofiler was originally written by nf-core community.
nf-core/taxprofiler was originally written by James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, and the nf-core/taxprofiler team.
We thank the following people for their extensive assistance in the development of this pipeline:

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@ -4,7 +4,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="nf-core/taxprofiler: Taxonomic profiling of shotgun metagenomic data">
<meta name="description" content="nf-core/taxprofiler: Taxonomic classification and profiling of shotgun metagenomic data">
<title>nf-core/taxprofiler Pipeline Report</title>
</head>
<body>

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@ -158,9 +158,6 @@ def sniff_format(handle):
peek = read_head(handle)
handle.seek(0)
sniffer = csv.Sniffer()
if not sniffer.has_header(peek):
logger.critical("The given sample sheet does not appear to contain a header.")
sys.exit(1)
dialect = sniffer.sniff(peek)
return dialect

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@ -15,7 +15,7 @@ process {
memory = { check_max( 6.GB * task.attempt, 'memory' ) }
time = { check_max( 4.h * task.attempt, 'time' ) }
errorStrategy = { task.exitStatus in [143,137,104,134,139] ? 'retry' : 'finish' }
errorStrategy = { task.exitStatus in ((130..145) + 104) ? 'retry' : 'finish' }
maxRetries = 1
maxErrors = '-1'

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@ -36,6 +36,14 @@ params {
macs_gsize = "2.7e9"
blacklist = "${projectDir}/assets/blacklists/hg38-blacklist.bed"
}
'CHM13' {
fasta = "${params.igenomes_base}/Homo_sapiens/UCSC/CHM13/Sequence/WholeGenomeFasta/genome.fa"
bwa = "${params.igenomes_base}/Homo_sapiens/UCSC/CHM13/Sequence/BWAIndex/"
bwamem2 = "${params.igenomes_base}/Homo_sapiens/UCSC/CHM13/Sequence/BWAmem2Index/"
gtf = "${params.igenomes_base}/Homo_sapiens/NCBI/CHM13/Annotation/Genes/genes.gtf"
gff = "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/009/914/755/GCF_009914755.1_T2T-CHM13v2.0/GCF_009914755.1_T2T-CHM13v2.0_genomic.gff.gz"
mito_name = "chrM"
}
'GRCm38' {
fasta = "${params.igenomes_base}/Mus_musculus/Ensembl/GRCm38/Sequence/WholeGenomeFasta/genome.fa"
bwa = "${params.igenomes_base}/Mus_musculus/Ensembl/GRCm38/Sequence/BWAIndex/version0.6.0/"

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

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@ -71,6 +71,29 @@ work # Directory containing the nextflow working files
# Other nextflow hidden files, eg. history of pipeline runs and old logs.
```
If you wish to repeatedly use the same parameters for multiple runs, rather than specifying each flag in the command, you can specify these in a params file.
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:
```bash
nextflow run nf-core/taxprofiler -profile docker -params-file params.yaml
```
with `params.yaml` containing:
```yaml
input: './samplesheet.csv'
outdir: './results/'
genome: 'GRCh37'
input: 'data'
<...>
```
You can also generate such `YAML`/`JSON` files via [nf-core/launch](https://nf-co.re/launch).
### Updating the pipeline
When you run the above command, Nextflow automatically pulls the pipeline code from GitHub and stores it as a cached version. When running the pipeline after this, it will always use the cached version if available - even if the pipeline has been updated since. To make sure that you're running the latest version of the pipeline, make sure that you regularly update the cached version of the pipeline:
@ -87,6 +110,10 @@ First, go to the [nf-core/taxprofiler releases page](https://github.com/nf-core/
This version number will be logged in reports when you run the pipeline, so that you'll know what you used when you look back in the future. For example, at the bottom of the MultiQC reports.
To further assist in reproducbility, you can use share and re-use [parameter files](#running-the-pipeline) to repeat pipeline runs with the same settings without having to write out a command with every single parameter.
> 💡 If you wish to share such profile (such as upload as supplementary material for academic publications), make sure to NOT include cluster specific paths to files, nor institutional specific profiles.
## Core Nextflow arguments
> **NB:** These options are part of Nextflow and use a _single_ hyphen (pipeline parameters use a double-hyphen).
@ -95,7 +122,7 @@ This version number will be logged in reports when you run the pipeline, so that
Use this parameter to choose a configuration profile. Profiles can give configuration presets for different compute environments.
Several generic profiles are bundled with the pipeline which instruct the pipeline to use software packaged using different methods (Docker, Singularity, Podman, Shifter, Charliecloud, Conda) - see below.
Several generic profiles are bundled with the pipeline which instruct the pipeline to use software packaged using different methods (Docker, Singularity, Podman, Shifter, Charliecloud, Apptainer, Conda) - see below.
> We highly recommend the use of Docker or Singularity containers for full pipeline reproducibility, however when this is not possible, Conda is also supported.
@ -119,8 +146,10 @@ If `-profile` is not specified, the pipeline will run locally and expect all sof
- A generic configuration profile to be used with [Shifter](https://nersc.gitlab.io/development/shifter/how-to-use/)
- `charliecloud`
- A generic configuration profile to be used with [Charliecloud](https://hpc.github.io/charliecloud/)
- `apptainer`
- A generic configuration profile to be used with [Apptainer](https://apptainer.org/)
- `conda`
- A generic configuration profile to be used with [Conda](https://conda.io/docs/). Please only use Conda as a last resort i.e. when it's not possible to run the pipeline with Docker, Singularity, Podman, Shifter or Charliecloud.
- A generic configuration profile to be used with [Conda](https://conda.io/docs/). Please only use Conda as a last resort i.e. when it's not possible to run the pipeline with Docker, Singularity, Podman, Shifter, Charliecloud, or Apptainer.
### `-resume`
@ -138,102 +167,19 @@ Specify the path to a specific config file (this is a core Nextflow command). Se
Whilst the default requirements set within the pipeline will hopefully work for most people and with most input data, you may find that you want to customise the compute resources that the pipeline requests. Each step in the pipeline has a default set of requirements for number of CPUs, memory and time. For most of the steps in the pipeline, if the job exits with any of the error codes specified [here](https://github.com/nf-core/rnaseq/blob/4c27ef5610c87db00c3c5a3eed10b1d161abf575/conf/base.config#L18) it will automatically be resubmitted with higher requests (2 x original, then 3 x original). If it still fails after the third attempt then the pipeline execution is stopped.
For example, if the nf-core/rnaseq pipeline is failing after multiple re-submissions of the `STAR_ALIGN` process due to an exit code of `137` this would indicate that there is an out of memory issue:
To change the resource requests, please see the [max resources](https://nf-co.re/docs/usage/configuration#max-resources) and [tuning workflow resources](https://nf-co.re/docs/usage/configuration#tuning-workflow-resources) section of the nf-core website.
```console
[62/149eb0] NOTE: Process `NFCORE_RNASEQ:RNASEQ:ALIGN_STAR:STAR_ALIGN (WT_REP1)` terminated with an error exit status (137) -- Execution is retried (1)
Error executing process > 'NFCORE_RNASEQ:RNASEQ:ALIGN_STAR:STAR_ALIGN (WT_REP1)'
### Custom Containers
Caused by:
Process `NFCORE_RNASEQ:RNASEQ:ALIGN_STAR:STAR_ALIGN (WT_REP1)` terminated with an error exit status (137)
In some cases you may wish to change which container or conda environment a step of the pipeline uses for a particular tool. By default nf-core pipelines use containers and software from the [biocontainers](https://biocontainers.pro/) or [bioconda](https://bioconda.github.io/) projects. However in some cases the pipeline specified version maybe out of date.
Command executed:
STAR \
--genomeDir star \
--readFilesIn WT_REP1_trimmed.fq.gz \
--runThreadN 2 \
--outFileNamePrefix WT_REP1. \
<TRUNCATED>
To use a different container from the default container or conda environment specified in a pipeline, please see the [updating tool versions](https://nf-co.re/docs/usage/configuration#updating-tool-versions) section of the nf-core website.
Command exit status:
137
### Custom Tool Arguments
Command output:
(empty)
A pipeline might not always support every possible argument or option of a particular tool used in pipeline. Fortunately, nf-core pipelines provide some freedom to users to insert additional parameters that the pipeline does not include by default.
Command error:
.command.sh: line 9: 30 Killed STAR --genomeDir star --readFilesIn WT_REP1_trimmed.fq.gz --runThreadN 2 --outFileNamePrefix WT_REP1. <TRUNCATED>
Work dir:
/home/pipelinetest/work/9d/172ca5881234073e8d76f2a19c88fb
Tip: you can replicate the issue by changing to the process work dir and entering the command `bash .command.run`
```
#### For beginners
A first step to bypass this error, you could try to increase the amount of CPUs, memory, and time for the whole pipeline. Therefor you can try to increase the resource for the parameters `--max_cpus`, `--max_memory`, and `--max_time`. Based on the error above, you have to increase the amount of memory. Therefore you can go to the [parameter documentation of rnaseq](https://nf-co.re/rnaseq/3.9/parameters) and scroll down to the `show hidden parameter` button to get the default value for `--max_memory`. In this case 128GB, you than can try to run your pipeline again with `--max_memory 200GB -resume` to skip all process, that were already calculated. If you can not increase the resource of the complete pipeline, you can try to adapt the resource for a single process as mentioned below.
#### Advanced option on process level
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/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 {
withName: 'NFCORE_RNASEQ:RNASEQ:ALIGN_STAR:STAR_ALIGN' {
memory = 100.GB
}
}
```
> **NB:** We specify the full process name i.e. `NFCORE_RNASEQ:RNASEQ:ALIGN_STAR:STAR_ALIGN` in the config file because this takes priority over the short name (`STAR_ALIGN`) and allows existing configuration using the full process name to be correctly overridden.
>
> If you get a warning suggesting that the process selector isn't recognised check that the process name has been specified correctly.
### Updating containers (advanced users)
The [Nextflow DSL2](https://www.nextflow.io/docs/latest/dsl2.html) implementation of this pipeline uses one container per process which makes it much easier to maintain and update software dependencies. If for some reason you need to use a different version of a particular tool with the pipeline then you just need to identify the `process` name and override the Nextflow `container` definition for that process using the `withName` declaration. For example, in the [nf-core/viralrecon](https://nf-co.re/viralrecon) pipeline a tool called [Pangolin](https://github.com/cov-lineages/pangolin) has been used during the COVID-19 pandemic to assign lineages to SARS-CoV-2 genome sequenced samples. Given that the lineage assignments change quite frequently it doesn't make sense to re-release the nf-core/viralrecon everytime a new version of Pangolin has been released. However, you can override the default container used by the pipeline by creating a custom config file and passing it as a command-line argument via `-c custom.config`.
1. Check the default version used by the pipeline in the module file for [Pangolin](https://github.com/nf-core/viralrecon/blob/a85d5969f9025409e3618d6c280ef15ce417df65/modules/nf-core/software/pangolin/main.nf#L14-L19)
2. Find the latest version of the Biocontainer available on [Quay.io](https://quay.io/repository/biocontainers/pangolin?tag=latest&tab=tags)
3. Create the custom config accordingly:
- For Docker:
```nextflow
process {
withName: PANGOLIN {
container = 'quay.io/biocontainers/pangolin:3.0.5--pyhdfd78af_0'
}
}
```
- For Singularity:
```nextflow
process {
withName: PANGOLIN {
container = 'https://depot.galaxyproject.org/singularity/pangolin:3.0.5--pyhdfd78af_0'
}
}
```
- For Conda:
```nextflow
process {
withName: PANGOLIN {
conda = 'bioconda::pangolin=3.0.5'
}
}
```
> **NB:** If you wish to periodically update individual tool-specific results (e.g. Pangolin) generated by the pipeline then you must ensure to keep the `work/` directory otherwise the `-resume` ability of the pipeline will be compromised and it will restart from scratch.
To learn how to provide additional arguments to a particular tool of the pipeline, please see the [customising tool arguments](https://nf-co.re/docs/usage/configuration#customising-tool-arguments) section of the nf-core website.
### nf-core/configs

View file

@ -2,6 +2,7 @@
// This file holds several functions used to perform JSON parameter validation, help and summary rendering for the nf-core pipeline template.
//
import nextflow.Nextflow
import org.everit.json.schema.Schema
import org.everit.json.schema.loader.SchemaLoader
import org.everit.json.schema.ValidationException
@ -83,6 +84,7 @@ class NfcoreSchema {
'stub-run',
'test',
'w',
'with-apptainer',
'with-charliecloud',
'with-conda',
'with-dag',
@ -177,7 +179,7 @@ class NfcoreSchema {
}
if (has_error) {
System.exit(1)
Nextflow.error('Exiting!')
}
}

View file

@ -2,6 +2,8 @@
// This file holds several functions specific to the main.nf workflow in the nf-core/taxprofiler pipeline
//
import nextflow.Nextflow
class WorkflowMain {
//
@ -21,7 +23,7 @@ class WorkflowMain {
//
// Generate help string
//
public static String help(workflow, params, log) {
public static String help(workflow, params) {
def command = "nextflow run ${workflow.manifest.name} --input samplesheet.csv --genome GRCh37 -profile docker"
def help_string = ''
help_string += NfcoreTemplate.logo(workflow, params.monochrome_logs)
@ -34,7 +36,7 @@ class WorkflowMain {
//
// Generate parameter summary log string
//
public static String paramsSummaryLog(workflow, params, log) {
public static String paramsSummaryLog(workflow, params) {
def summary_log = ''
summary_log += NfcoreTemplate.logo(workflow, params.monochrome_logs)
summary_log += NfcoreSchema.paramsSummaryLog(workflow, params)
@ -49,7 +51,7 @@ class WorkflowMain {
public static void initialise(workflow, params, log) {
// Print help to screen if required
if (params.help) {
log.info help(workflow, params, log)
log.info help(workflow, params)
System.exit(0)
}
@ -61,7 +63,7 @@ class WorkflowMain {
}
// Print parameter summary log to screen
log.info paramsSummaryLog(workflow, params, log)
log.info paramsSummaryLog(workflow, params)
// Validate workflow parameters via the JSON schema
if (params.validate_params) {
@ -81,8 +83,7 @@ class WorkflowMain {
// Check input has been provided
if (!params.input) {
log.error "Please provide an input samplesheet to the pipeline e.g. '--input samplesheet.csv'"
System.exit(1)
Nextflow.error("Please provide an input samplesheet to the pipeline e.g. '--input samplesheet.csv'")
}
}
//

View file

@ -2,6 +2,7 @@
// This file holds several functions specific to the workflow/taxprofiler.nf in the nf-core/taxprofiler pipeline
//
import nextflow.Nextflow
import groovy.text.SimpleTemplateEngine
class WorkflowTaxprofiler {
@ -14,8 +15,7 @@ class WorkflowTaxprofiler {
if (!params.fasta) {
log.error "Genome fasta file not specified with e.g. '--fasta genome.fa' or via a detectable config file."
System.exit(1)
Nextflow.error "Genome fasta file not specified with e.g. '--fasta genome.fa' or via a detectable config file."
}
}
@ -61,17 +61,19 @@ class WorkflowTaxprofiler {
def description_html = engine.createTemplate(methods_text).make(meta)
return description_html
}//
}
//
// Exit pipeline if incorrect --genome key provided
//
private static void genomeExistsError(params, log) {
if (params.genomes && params.genome && !params.genomes.containsKey(params.genome)) {
log.error "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n" +
def error_string = "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n" +
" Genome '${params.genome}' not found in any config files provided to the pipeline.\n" +
" Currently, the available genome keys are:\n" +
" ${params.genomes.keySet().join(", ")}\n" +
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
System.exit(1)
Nextflow.error(error_string)
}
}
}

View file

@ -4,7 +4,6 @@
nf-core/taxprofiler
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Github : https://github.com/nf-core/taxprofiler
Website: https://nf-co.re/taxprofiler
Slack : https://nfcore.slack.com/channels/taxprofiler
----------------------------------------------------------------------------------------

View file

@ -7,7 +7,7 @@
"nf-core": {
"custom/dumpsoftwareversions": {
"branch": "master",
"git_sha": "c8e35eb2055c099720a75538d1b8adb3fb5a464c",
"git_sha": "76cc4938c1f6ea5c7d83fed1eeffc146787f9543",
"installed_by": ["modules"]
},
"fastqc": {
@ -17,7 +17,7 @@
},
"multiqc": {
"branch": "master",
"git_sha": "c8e35eb2055c099720a75538d1b8adb3fb5a464c",
"git_sha": "f2d63bd5b68925f98f572eed70993d205cc694b7",
"installed_by": ["modules"]
}
}

View file

@ -5,7 +5,7 @@ process SAMPLESHEET_CHECK {
conda "conda-forge::python=3.8.3"
container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
'https://depot.galaxyproject.org/singularity/python:3.8.3' :
'quay.io/biocontainers/python:3.8.3' }"
'biocontainers/python:3.8.3' }"
input:
path samplesheet

View file

@ -2,10 +2,10 @@ process CUSTOM_DUMPSOFTWAREVERSIONS {
label 'process_single'
// Requires `pyyaml` which does not have a dedicated container but is in the MultiQC container
conda "bioconda::multiqc=1.13"
conda "bioconda::multiqc=1.14"
container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
'https://depot.galaxyproject.org/singularity/multiqc:1.13--pyhdfd78af_0' :
'quay.io/biocontainers/multiqc:1.13--pyhdfd78af_0' }"
'https://depot.galaxyproject.org/singularity/multiqc:1.14--pyhdfd78af_0' :
'quay.io/biocontainers/multiqc:1.14--pyhdfd78af_0' }"
input:
path versions

View file

@ -1,7 +1,9 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/nf-core/modules/master/modules/yaml-schema.json
name: custom_dumpsoftwareversions
description: Custom module used to dump software versions within the nf-core pipeline template
keywords:
- custom
- dump
- version
tools:
- custom:

View file

@ -1,10 +1,10 @@
process MULTIQC {
label 'process_single'
conda "bioconda::multiqc=1.13"
conda "bioconda::multiqc=1.14"
container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
'https://depot.galaxyproject.org/singularity/multiqc:1.13--pyhdfd78af_0' :
'quay.io/biocontainers/multiqc:1.13--pyhdfd78af_0' }"
'https://depot.galaxyproject.org/singularity/multiqc:1.14--pyhdfd78af_0' :
'quay.io/biocontainers/multiqc:1.14--pyhdfd78af_0' }"
input:
path multiqc_files, stageAs: "?/*"

View file

@ -1,3 +1,4 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/nf-core/modules/master/modules/yaml-schema.json
name: MultiQC
description: Aggregate results from bioinformatics analyses across many samples into a single report
keywords:
@ -37,7 +38,7 @@ output:
description: MultiQC report file
pattern: "multiqc_report.html"
- data:
type: dir
type: directory
description: MultiQC data dir
pattern: "multiqc_data"
- plots:

View file

@ -78,7 +78,11 @@ try {
profiles {
debug { process.beforeScript = 'echo $HOSTNAME' }
debug {
dumpHashes = true
process.beforeScript = 'echo $HOSTNAME'
cleanup = false
}
conda {
conda.enabled = true
docker.enabled = false
@ -86,6 +90,7 @@ profiles {
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
mamba {
conda.enabled = true
@ -95,14 +100,18 @@ profiles {
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
docker {
docker.enabled = true
docker.registry = 'quay.io'
docker.userEmulation = true
conda.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
arm {
docker.runOptions = '-u $(id -u):$(id -g) --platform=linux/amd64'
@ -110,31 +119,49 @@ profiles {
singularity {
singularity.enabled = true
singularity.autoMounts = true
conda.enabled = false
docker.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
podman {
podman.enabled = true
podman.registry = 'quay.io'
conda.enabled = false
docker.enabled = false
singularity.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
shifter {
shifter.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
charliecloud {
charliecloud.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
apptainer.enabled = false
}
apptainer {
apptainer.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
gitpod {
executor.name = 'local'
@ -188,12 +215,12 @@ dag {
manifest {
name = 'nf-core/taxprofiler'
author = """nf-core community"""
author = """James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, and the nf-core/taxprofiler team"""
homePage = 'https://github.com/nf-core/taxprofiler'
description = """Taxonomic profiling of shotgun metagenomic data"""
description = """Taxonomic classification and profiling of shotgun metagenomic data"""
mainScript = 'main.nf'
nextflowVersion = '!>=22.10.1'
version = '1.0dev'
version = '1.1.0dev'
doi = ''
}

View file

@ -2,7 +2,7 @@
"$schema": "http://json-schema.org/draft-07/schema",
"$id": "https://raw.githubusercontent.com/nf-core/taxprofiler/master/nextflow_schema.json",
"title": "nf-core/taxprofiler pipeline parameters",
"description": "Taxonomic profiling of shotgun metagenomic data",
"description": "Taxonomic classification and profiling of shotgun metagenomic data",
"type": "object",
"definitions": {
"input_output_options": {

5
tower.yml Normal file
View file

@ -0,0 +1,5 @@
reports:
multiqc_report.html:
display: "MultiQC HTML report"
samplesheet.csv:
display: "Auto-created samplesheet with collated metadata and FASTQ paths"