Introduction

nf-core/tyche is a bioinformatics best-practice analysis pipeline for randomly subsampling sequencing reads to a specified coverage or number of bases/reads.

The pipeline is built using Nextflow, 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 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 in order to make them available to all nf-core pipelines, and to everyone within the Nextflow community!

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.

Pipeline summary

1. Subsample sequencing reads (rasusa or seqtk) and create an extended sample sheet
2. Read QC (FastQC)
3. Present QC for subsampled reads (MultiQC)

Quick Start

1. Install Nextflow (>=21.04.0)

2. Install any of Docker, Singularity, Podman, Shifter or Charliecloud for full pipeline reproducibility (please only use Conda as a last resort; see docs)

3. Download the pipeline and test it on a minimal dataset with a single command:

   console nextflow run nf-core/tyche -profile test,<docker/singularity/podman/shifter/charliecloud/conda/institute>

   • Please check nf-core/configs 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 then the pipeline will auto-detect this and attempt to download the Singularity images directly as opposed to performing a conversion from Docker images. If you are persistently observing issues downloading Singularity images directly due to timeout or network issues then please use the --singularity_pull_docker_container parameter to pull and convert the Docker image instead. Alternatively, it is highly recommended to use the nf-core download command to pre-download all of the required containers before running the pipeline and to set the NXF_SINGULARITY_CACHEDIR or singularity.cacheDir Nextflow options to be able 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 settings to store the environments in a central location for future pipeline runs.

4. Start running your own analysis!

   console nextflow run nf-core/tyche -profile <docker/singularity/podman/shifter/charliecloud/conda/institute> --input samplesheet.csv --bases 100Kb

   The above command will subsample each input from the sample sheet to approximately 100,000 bases using the default seed 100.

   You can also specify a comma separated list of seed numbers which will each be used to subsample each input, e.g., --seeds 100,200,300 means that each sample from the input sheet gets subsampled with the seed 100, 200, and 300.

   Alternatively, you can set the number of replicates per input sample that you desire, such as --replicates 20. If the chosen number of replicates is larger than the number of provided seeds, a number of seeds equal to the number of replicates is randomly chosen.

Documentation

The nf-core/tyche pipeline comes with documentation about the pipeline usage, parameters and output.

Credits

nf-core/tyche was originally written by Moritz E. Beber.

We thank the following people for their extensive assistance in the development of this pipeline:

• This could be you!

Contributions and Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

For further information or help, don't hesitate to get in touch on the Slack #tyche channel (you can join with this invite).

Citations

An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.

You can cite the nf-core publication as follows:

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.