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Assess Gene Predictions Using Proteomics and Evolutionary Conservation

Bioconductor version: Release (3.19)

In order to assess the quality of a set of predicted genes for a genome, evidence must first be mapped to that genome. Next, each gene must be categorized based on how strong the evidence is for or against that gene. The AssessORF package provides the functions and class structures necessary for accomplishing those tasks, using proteomic hits and evolutionarily conserved start codons as the forms of evidence.

Author: Deepank Korandla [aut, cre], Erik Wright [aut]

Maintainer: Deepank Korandla <dkorandl at>

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


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:

Using AssessORF PDF R Script
Reference Manual PDF


biocViews ComparativeGenomics, GenePrediction, Genetics, GenomeAnnotation, Proteomics, QualityControl, Software, Visualization
Version 1.22.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0), DECIPHER(>= 2.10.0)
Imports Biostrings, GenomicRanges, IRanges, graphics, grDevices, methods, stats, utils
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Suggests AssessORFData, BiocStyle, knitr, rmarkdown, RSQLite (>= 1.1)
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Follow Installation instructions to use this package in your R session.

Source Package AssessORF_1.22.0.tar.gz
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macOS Binary (x86_64) AssessORF_1.22.0.tgz
macOS Binary (arm64) AssessORF_1.22.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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