nf-core/viennarna/rnalfold @ 0.0.0-6c4ed3a
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
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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 | 0.0.0-6c4ed3a |
|---|---|
| Commit ID | 6c4ed3a220310b905a1fc9d04f05be2e0837142b |
| Release Date | 23 Apr 2026 15:52:34 (UTC) |
| Download URL | https://registry.nextflow.io/api/v1/modules/nf-core%2Fviennarna%2Frnalfold/0.0.0-6c4ed3a/download |
| OCI Store URL | https://public.cr.seqera.io/v2/nextflow/plugin/modules/nf-core/viennarna/rnalfold/blobs/sha256:4e3a0f39e69d80a304ef359ce54f5f8d063b9ff7438bc51364e91ae2a217f4b7 |
| Size | 2.3 KB |
| Checksum | sha256:4e3a0f39e69d80a304ef359ce54f5f8d063b9ff7438bc51364e91ae2a217f4b7 |
| 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 |