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nf-core/viennarna/rnalfold @ 0.0.0-0c7146d

calculate locally stable secondary structures of RNAs

Latest version: 0.0.0-6c4ed3a
Total downloads: 8
Source: nf-core/modules
Authors: @kokul-atx
Maintainers: @kokul-atx

Summary

calculate locally stable secondary structures of RNAs

Get started

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

include { VIENNARNA_RNALFOLD } from 'nf-core/viennarna/rnalfold'

License

MIT License

Process
Name VIENNARNA_RNALFOLD
Input 1 channel
fasta file

A fasta file containing RNA or transcript sequences

*.{fasta,fa}
Output 2 channels
#1 versions
versions.yml file

File containing software versions

versions.yml
#2 rnalfold_txt
*.lfold file

The text Output of RNALfold

*.{lfold}
Tool Description Homepage
viennarna calculate locally stable secondary structures of RNAs Compute locally stable RNA secondary structure with a maximal base pair span. For a sequence of length n and a base pair span of L the algorithm uses only O(n+L*L) memory and O(n*L*L) CPU time. Thus it is practical to “scan” very large genomes for short RNA structures. Output consists of a list of secondary structure components of size <= L, one entry per line. Each output line contains the predicted local structure its energy in kcal/mol and the starting position of the local structure. https://www.tbi.univie.ac.at/RNA/
Version 0.0.0-0c7146d
Commit ID 6c4ed3a220310b905a1fc9d04f05be2e0837142b
Release Date 08 Apr 2026 19:46:57 (UTC)
Download URL https://registry.nextflow.io/api/v1/modules/nf-core%2Fviennarna%2Frnalfold/0.0.0-0c7146d/download
OCI Store URL https://public.cr.seqera.io/v2/nextflow/plugin/modules/nf-core/viennarna/rnalfold/blobs/sha256:58983d49a0d5cf6ecef226c9c8530ef78d35578119d5a944a9ef2fb2caf2cff6
Size 2.3 KB
Checksum sha256:58983d49a0d5cf6ecef226c9c8530ef78d35578119d5a944a9ef2fb2caf2cff6
Downloads 3
Version Date Status Downloads Size
0.0.0-6c4ed3a 23 Apr 2026 15:52:34 (UTC) 3 2.3 KB
0.0.0-3fc6d40 22 Apr 2026 15:36:24 (UTC) 2 2.3 KB
0.0.0-0c7146d 08 Apr 2026 19:46:57 (UTC) 3 2.3 KB