Nextflow Registry | nf-core/ribodetector@0.0.0-1d8acb2

nf-core/ribodetector @ 0.0.0-1d8acb2

Accurate and rapid RiboRNA sequences Detector based on deep learning

Latest version: 0.0.0-1d8acb2

Total downloads: 1

Source: nf-core/modules

Authors: @maxibor

Maintainers: @maxibor

Accurate and rapid RiboRNA sequences Detector based on deep learning

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

include { RIBODETECTOR } from 'nf-core/ribodetector'

MIT License

Process

`Name`	`RIBODETECTOR`

Input 2 channels

#1 tuple

`meta` map	Groovy Map containing riboseq sample information e.g. `[ id:'sample1', single_end:false ]
`fastq` file	List of input FastQ files of size 1 and 2 for single-end and paired-end data, respectively.

`length` integer	Sequencing read length (mean length). Note: the accuracy reduces for reads shorter than 40 `integer >= 1`

Output 4 channels

#1 log tuple

`meta` map	Groovy Map containing sample information
`*.log` file	Log file from RiboDetector `*.log`

#2 fastq tuple

`meta` map	Groovy Map containing sample information
`.nonrna.fastq.gz` file	rRNA depleted FastQ files `.nonrna.fastq.gz`

#3 versions_cuda tuple

`${task.process}` string	Name of the process
`cuda` string	Name of the runtime
`python -c "import torch; print(torch.version.cuda or 'no CUDA available')"` eval	CUDA version bundled with the task's pytorch build, or `no CUDA available` on the non-GPU path

#4 versions_ribodetector tuple

`${task.process}` string	Name of the process
`ribodetector` string	Name of the tool
`ribodetector --version \| sed "s/ribodetector //"` eval	The expression to obtain the version of the tool

Tool	Description	Homepage
ribodetector	Accurate and rapid RiboRNA sequences detector based on deep learning. RiboDetector uses a deep learning approach to identify rRNA sequences in ribosome profiling (Ribo-seq) data. It can be used to filter out rRNA reads from Ribo-seq datasets, improving the quality of downstream analyses. As of version 0.3.1, Ribodetector doesn't support setting a random seed, so results may not be fully deterministic across runs.	https://github.com/hzi-bifo/RiboDetector

Version	0.0.0-1d8acb2
Commit ID	135d883a43b1a2324b4112cd270cf22e20835533
Release Date	08 Apr 2026 10:26:04 (UTC)
Download URL	https://registry-stage.nextflow.io/api/v1/modules/nf-core%2Fribodetector/0.0.0-1d8acb2/download
OCI Store URL	https://public.cr.stage-seqera.io/v2/nextflow/plugin-stage/modules/nf-core/ribodetector/blobs/sha256:4b792b38591b9d01778d3387aa7c3dbfe6bc7aac613115b7993c755a5c06c951
Size	2.9 KB
Checksum	sha256:4b792b38591b9d01778d3387aa7c3dbfe6bc7aac613115b7993c755a5c06c951
Downloads	1

Version	Date	Status	Downloads	Size	Diff
0.0.0-1d8acb2	08 Apr 2026 10:26:04 (UTC)		1	2.9 KB	-