This is the released version of ORFhunteR; for the devel version, see ORFhunteR.
Predict open reading frames in nucleotide sequencesBioconductor version: Release (3.21)
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] ORCID: 0000-0001-9981-7333 , Mikalai M. Yatskou [aut], Victor V. Skakun [aut], Maryna Chepeleva [aut] ORCID: 0000-0003-3036-4916 , Petr V. Nazarov [aut] ORCID: 0000-0003-3443-0298
Maintainer: Vasily V. Grinev <grinev_vv at bsu.by>
Citation (from within R, entercitation("ORFhunteR")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ORFhunteR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ORFhunteR")Follow Installation instructions to use this package in your R session.
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