nf-core/ribotish/predict @ 0.0.0-6c4ed3a
Summary
Quality control of riboseq bam data
Get started
Add the following snippet to your workflow script to include this module.
include { RIBOTISH_PREDICT } from 'nf-core/ribotish/predict'
License
MIT License
Name
|
RIBOTISH_PREDICT |
|---|
meta
map
|
Groovy Map containing riboseq sample information e.g. `[ id:'sample1', single_end:false ] |
|---|---|
bam_ribo
file
|
Sorted riboseq BAM file(s) *.{bam}
|
bai_ribo
file
|
Index for sorted riboseq bam file(s) *.{bai}
|
meta2
map
|
Groovy Map containing TI-Seq sample information e.g. |
|---|---|
bam_ti
file
|
Sorted TI-Seq BAM file(s) *.{bam}
|
bai_ti
file
|
Index for sorted TI-Seq BAM file(s) *.{bai}
|
meta3
map
|
Groovy Map containing reference information e.g. |
|---|---|
fasta
file
|
Fasta-format sequence file for reference sequences used in the bam file *.gtf
|
gtf
file
|
GTF-format annotation file for reference sequences used in the bam file *.gtf
|
meta4
map
|
Groovy Map containing information on candidate ORFs |
|---|---|
candidate_orfs
file
|
3-column (transIDstarttstop) candidate ORFs file *.txt
|
meta5
map
|
Groovy Map containing information on riboseq P-site offset parameter files |
|---|---|
para_ribo
file
|
Input P-site offset parameter files for riboseq bam files *.py
|
meta6
map
|
Groovy Map containing information on TI-seq P-site offset parameter files |
|---|---|
para_ti
file
|
Input P-site offset parameter files for TI-seq bam files *.py
|
all
tuple
meta
map
|
Groovy Map containing sample information e.g. |
|---|---|
*_all.txt
file
|
txt file similar to the predictions but do not use FDR (q-value) cutoff *.{txt}
|
versions
versions.yml
file
|
File containing software versions versions.yml
|
|---|
predictions
tuple
meta
map
|
Groovy Map containing sample information e.g. |
|---|---|
*_pred.txt
file
|
txt file all possible ORF results that fit the thresholds *.{txt}
|
transprofile
tuple
meta
map
|
Groovy Map containing sample information e.g. |
|---|---|
*_transprofile.py
file
|
Output RPF P-site profile for each transcript. The profile data is in python dict format, recording non-zero read counts at different positions on transcript. *.{py}
|
| Tool | Description | Homepage |
|---|---|---|
| ribotish | Ribo TIS Hunter (Ribo-TISH) identifies translation activities using ribosome profiling data. | https://github.com/zhpn1024/ribotish |
| Version | 0.0.0-6c4ed3a |
|---|---|
| Commit ID | 6c4ed3a220310b905a1fc9d04f05be2e0837142b |
| Release Date | 23 Apr 2026 15:40:57 (UTC) |