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nf-core/cutadapt @ 0.0.0-6c4ed3a

Removes adapter sequences from sequencing reads

Latest version: 0.0.0-6c4ed3a
Total downloads: 9
Source: nf-core/modules

Summary

Removes adapter sequences from sequencing reads

Get started

Add the following snippet to your workflow script to include this module.

include { CUTADAPT } from 'nf-core/cutadapt'

License

MIT License

Process
Name CUTADAPT
Input 1 channel
#1 tuple
meta map

Groovy Map containing sample information e.g. [ id:'test', single_end:false ]

reads file

List of input FastQ files of size 1 and 2 for single-end and paired-end data, respectively.

*.{fq,fastq,fq.gz,fastq.gz}
Output 3 channels
#1 log tuple
meta map

Groovy Map containing sample information e.g. [ id:'test', single_end:false ]

*.log file

cutadapt log file

*cutadapt.log
#2 reads tuple
meta map

Groovy Map containing sample information e.g. [ id:'test', single_end:false ]

*.trim.fastq.gz file

The trimmed/modified fastq reads

*fastq.gz
#3 versions_cutadapt tuple
${task.process} string

The name of the process

cutadapt string

The name of the tool

cutadapt --version eval

The expression to obtain the version of the tool

Tool Description Homepage
cutadapt Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads. https://cutadapt.readthedocs.io/en/stable/index.html
Version 0.0.0-6c4ed3a
Commit ID 6c4ed3a220310b905a1fc9d04f05be2e0837142b
Release Date 23 Apr 2026 15:12:23 (UTC)
Download URL https://registry.nextflow.io/api/v1/modules/nf-core%2Fcutadapt/0.0.0-6c4ed3a/download
OCI Store URL https://public.cr.seqera.io/v2/nextflow/plugin/modules/nf-core/cutadapt/blobs/sha256:2f51b412d87d0593a67f533c4b702fc475e39541081db494ff01bee68e26a944
Size 3.0 KB
Checksum sha256:2f51b412d87d0593a67f533c4b702fc475e39541081db494ff01bee68e26a944
Downloads 3
Version Date Status Downloads Size
0.0.0-6c4ed3a 23 Apr 2026 15:12:23 (UTC) 3 3.0 KB
0.0.0-3fc6d40 22 Apr 2026 15:08:41 (UTC) 3 3.0 KB
0.0.0-0c7146d 08 Apr 2026 18:55:33 (UTC) 3 3.0 KB