Roleren/uORFomePipe: uORF prediction in R
Prediction of uORFs in varying tissues / stages, using the ORFik package as back-end and the presumption that active / translated uORFs should have similar Ribo-seq patterns to (coding sequences) CDS'. Uses a Random forrest (from H2o.ai) trained on Ribo-seq features.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Hakon Tjeldnes |
| Bioconductor views | Alignment Coverage DataImport FunctionalGenomics ImmunoOncology RNASeq RiboSeq Sequencing Software |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
