Nextflow rnafusion analysis pipeline, part of the nf-core community..

Introduction

nf-core/rnafusion is a bioinformatics best-practise analysis pipeline for identifying gene fusions from RNA-seq experiments.

The pipeline is built using Nextflow⁠, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.

Quick Start

1. Install nextflow⁠

2. Install any of Docker⁠, Singularity⁠ or Podman⁠ 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:

   nextflow run nf-core/rnafusion -profile test,<docker/singularity/podman/conda/institute>
   

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   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.

4. Start running your own analysis!

   nextflow run nf-core/rnafusion -profile <docker/singularity/podman/conda/institute> --input '*_R{1,2}.fastq.gz' --genome GRCh37
   

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See usage docs⁠ for all of the available options when running the pipeline.

Pipeline Summary

By default, the pipeline currently performs the following:

• Sequencing quality control (FastQC)
• Overall pipeline run summaries (MultiQC)

Documentation

The nf-core/rnafusion pipeline comes with documentation about the pipeline: usage⁠ and output⁠.

Credits

nf-core/rnafusion was originally written by Martin Proks.

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

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 #rnafusion channel⁠ (you can join with this invite⁠).

Citations

You can cite the nf-core publication as follows:

In addition, references of tools and data used in this pipeline are as follows: