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Predict open reading frames in nucleotide sequences

Bioconductor version: Release (3.19)

The ORFhunteR package is a R and C++ library for an automatic determination and annotation of open reading frames (ORF) in a large set of RNA molecules. It efficiently implements the machine learning model based on vectorization of nucleotide sequences and the random forest classification algorithm. The ORFhunteR package consists of a set of functions written in the R language in conjunction with C++. The efficiency of the package was confirmed by the examples of the analysis of RNA molecules from the NCBI RefSeq and Ensembl databases. The package can be used in basic and applied biomedical research related to the study of the transcriptome of normal as well as altered (for example, cancer) human cells.

Author: Vasily V. Grinev [aut, cre] , Mikalai M. Yatskou [aut], Victor V. Skakun [aut], Maryna Chepeleva [aut] , Petr V. Nazarov [aut]

Maintainer: Vasily V. Grinev <grinev_vv at>

Citation (from within R, enter citation("ORFhunteR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The ORFhunteR package: User’s manual HTML R Script
Reference Manual PDF


biocViews Classification, FeatureExtraction, RNASeq, Sequencing, Software, StatisticalMethod, Technology
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License MIT License
Depends Biostrings, rtracklayer, Peptides
Imports Rcpp (>= 1.0.3), BSgenome.Hsapiens.UCSC.hg38, data.table, stringr, randomForest, xfun, stats, utils, parallel, graphics
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Follow Installation instructions to use this package in your R session.

Source Package ORFhunteR_1.12.0.tar.gz
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macOS Binary (x86_64) ORFhunteR_1.12.0.tgz
macOS Binary (arm64) ORFhunteR_1.12.0.tgz
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Source Repository (Developer Access) git clone
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