What is nf-core?

nf-core is a community effort to collect a curated set of analysis pipelines built using Nextflow.

nf-core has three target audiences: facilities, single users and developers. For facilities it provides highly automated and optimized pipelines that guaranty reproducibility of results for their users. Single users profit from portable, documented and easy to use workflows. But you can also become a developer and write your own pipeline in Nextflow using already available templates and helper tools.

What is Nextflow?

Nextflow is a workflow manager. It has been developed specifically to ease the creation and execution of bioinformatics pipelines. The benefits of having your pipeline in Nextflow include:

Whether your pipeline is a simple BLAST execution or a complex genome annotation pipeline, you can build it with Nextflow.

How to run a pipeline

Nextflow works best when you have an active internet connection, as it is able to fetch all pipeline requirements. If you need to run offline, please see Running offline.

  1. First, make sure that you have all required software installed (Nextflow + Docker / Singularity / Conda). See the installation docs for more information.

    • Try running the Nextflow "hello world" example to make sure that the tools are working properly:

        nextflow run hello
  2. Choose a pipeline to run. See the available pipelines at https://nf-co.re/pipelines. If you have https://nf-core/tools installed, run nf-core list

  3. Configure Nextflow to run on your system.

    • The simplest way to run is with -profile docker (or singularity / conda) which will tell Nextflow to execute jobs locally using Docker to fulfil the software requirements.

    • For more complex configuration of Nextflow for your system, please see the Nextflow configuration documentation.

  4. To test that everything is working properly, try running the tests for your pipeline of interest in the terminal:

     nextflow run nf-core/<pipeline_name> -profile test,docker
    • Replace <pipeline_name> with the name of an nf-core pipeline.

    • If you don't have Docker installed, replace docker in the command with either singularity or conda.

    • There is no need to download anything first - nextflow will pull the code for you from the GitHub repository automatically and fetch the software requirements too.

    • If the pipeline fails, check the troubleshooting docs and ask for help on the nf-core Slack channel for that particular pipeline (see https://nf-co.re/join).

  5. Read the pipeline documentation to see which command-line parameters are required. These will be specific to your data type and usage.

  6. Launch the pipeline with some real data by omitting the test config profile and providing the required pipeline-specific parameters. For example, if you want to run the methylseq pipeline, you might use the following command:

     nextflow run nf-core/methylseq -profile docker --reads 'input_data/*.fastq.gz' --outdir myproj/results --genome GRCh38
  7. Once complete, check the pipeline execution and quality control reports. Each pipeline comes with documentation describing the different outputs.

Tips and tricks

Helper tools

To help you manage your nf-core pipelines and discover updates, we have written some command-line helper tools. These allow you to list all available pipelines and versions, with information about what versions you're running locally. There are also commands to help downloading pipelines for use offline.

To find out more about these tools, read the Tools page.