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

Package details

AuthorHakon Tjeldnes
Bioconductor views Alignment Coverage DataImport FunctionalGenomics ImmunoOncology RNASeq RiboSeq Sequencing Software
Maintainer
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Roleren/uORFomePipe")
Roleren/uORFomePipe documentation built on Oct. 10, 2020, 2:31 p.m.