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Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads.
Cleaning your data in this way is often required: Reads from small-RNA sequencing contain the 3’ sequencing adapter because the read is longer than the molecule that is sequenced. Amplicon reads start with a primer sequence. Poly-A tails are useful for pulling out RNA from your sample, but often you don’t want them to be in your reads.
Cutadapt helps with these trimming tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter single-end and paired-end reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Cutadapt can also demultiplex your reads.
Cutadapt is available under the terms of the MIT license.
Cutadapt development was started at TU Dortmund University <https://www.tu-dortmund.de>_
in the group of Prof. Dr. Sven Rahmann <https://www.rahmannlab.de/>.
It is currently being developed within
NBIS (National Bioinformatics Infrastructure Sweden) <https://nbis.se/>.
If you use Cutadapt, please cite
DOI:10.14806/ej.17.1.200 <http://dx.doi.org/10.14806/ej.17.1.200>_ .
Documentation <https://cutadapt.readthedocs.io/>_Source code <https://github.com/marcelm/cutadapt/>_Report an issue <https://github.com/marcelm/cutadapt/issues>_Project page on PyPI (Python package index) <https://pypi.python.org/pypi/cutadapt/>_Wrapper for the Galaxy platform <https://github.com/galaxyproject/tools-iuc/tree/main/tools/cutadapt>_FAQs
Adapter trimming and other preprocessing of high-throughput sequencing reads
We found that cutadapt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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