A pipelining tool to automate and standardise bioinformatics analyses on cluster environments.
Perl Python HTML R
Switch branches/tags
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.


A user-friendly bioinformatics workflow tool

Build Status Gitter DOI

Find Cluster Flow documentation with information and examples at http://clusterflow.io

Cluster Flow is a pipelining tool to automate and standardise bioinformatics analyses on high-performance cluster environments. It is designed to be easy to use, quick to set up and flexible to configure.

Cluster Flow is written in Perl and works by launching jobs to a cluster (can also be run locally). Each job is a stand-alone Perl executable wrapper around a bioinformatics tool of interest.

Modules collect extensive logging information and Cluster Flow e-mails the user with a summary of the pipeline commands and exit codes upon completion.


You can find stable versions to download on the releases page.

You can get the development version of the code by cloning this repository:

git clone https://github.com/ewels/clusterflow.git

Once downloaded and extracted, create a clusterflow.config file in the script directory, based on clusterflow.config.example.

Next, you need to add the main cf executable to your PATH. This can be done as an environment module, with a symlink to bin or by adding to your ~/.bashrc file.

Finally, run the setup wizard (cf --setup) and genomes wizard (cf --add_genome) and you're ready to go! See the installation docs for more information.


Pipelines are launched by naming a pipeline or module and the input files. A simple example could look like this:

cf sra_trim *.fastq.gz

Most pipelines need reference genomes, and Cluster Flow has built in reference genome management. Parameters can be passed to modify tool behaviour.

For example, to run the fastq_bowtie pipeline (FastQC, TrimGalore! and Bowtie) with Human data, trimming the first 6bp of read 1, the command would be:

cf --genome GRCh37 --params "clip_r1=6" fastq_bowtie *.fastq.gz

Additional common Cluster Flow commands are as follows:

cf --genomes     # List available reference genomes
cf --pipelines   # List available pipelines
cf --modules     # List available modules
cf --qstat       # List running pipelines
cf --qdel [id]   # Cancel jobs for a running pipeline

Supported Tools

Cluster Flow comes with modules and pipelines for the following tools:

Read QC & pre-processing Aligners / quantifiers Post-alignment processing Post-alignment QC
FastQ Screen Bismark bedtools (bamToBed, intersectNeg) deepTools (bamCoverage, bamFingerprint)
FastQC Bowtie 1 subread featureCounts MultiQC
TrimGalore! Bowtie 2 HTSeq Count phantompeaktools (runSpp)
SRA Toolkit BWA Picard (MarkDuplicates) Preseq
HiCUP Samtools (bam2sam, dedup, sort_index) RSeQC (geneBody_coverage, inner_distance, junction_annotation, junction_saturation, read_GC)


Please consider citing Cluster Flow if you use it in your analysis.

Cluster Flow: A user-friendly bioinformatics workflow tool [version 2; referees: 3 approved].
Philip Ewels, Felix Krueger, Max Käller, Simon Andrews
F1000Research 2016, 5:2824
doi: 10.12688/f1000research.10335.2

author = {Ewels, Philip and Krueger, Felix and K{\"{a}}ller, Max and Andrews, Simon},
title = {Cluster Flow: A user-friendly bioinformatics workflow tool [version 2; referees: 3 approved].},
journal = {F1000Research},
volume = {5},
pages = {2824},
year = {2016},
doi = {10.12688/f1000research.10335.2},
URL = { + http://dx.doi.org/10.12688/f1000research.10335.2}

Contributions & Support

Contributions and suggestions for new features are welcome, as are bug reports! Please create a new issue. Cluster Flow has extensive documentation describing how to write new modules and pipelines.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/clusterflow

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@scilifelab.se)


Project lead and main author: @ewels

Code contributions from: @s-andrews, @FelixKrueger, @stu2, @orzechoj @darogan and others. Thanks for your support!


Cluster Flow is released with a GPL v3 licence. Cluster Flow is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. For more information, see the licence that comes bundled with Cluster Flow.