AssessORF
The software tool "AssessORF" addresses the challenge of benchmarking prokaryotic gene predictions, a fundamental task in genomics where identifying the boundaries of protein-coding genes is essential. Existing gene-finding programs need a universal benchmark, leading to uncertainty about their performance and accuracy due to varied benchmarking strategies employed by developers.
AssessORF introduces a novel approach to benchmark prokaryotic gene predictions, utilizing evidence from proteomics data and considering the evolutionary conservation of start and stop codons. The tool compares predictions from GenBank, GeneMarkS-2, Glimmer, and Prodigal across diverse genomes in the prokaryotic tree of life. Results indicate that predictions from these programs exhibit 88-95% agreement with available evidence, with Glimmer performing less effectively but no clear winner among the programs. Notably, all programs are biased towards selecting start codons upstream of the actual start, highlighting a need for improvement, particularly in detecting correct start sites.
Topic
Proteomics
Detail
Operation: Gene prediction
Software interface: Command-line user interface
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 1.20.0
Credit: NIAID at NIH, the UCSD Graduate Training Program in Cellular and Molecular Pharmacology through an institutional training grant from the NIGMS, the UCSD Training Program in Rheumatic Diseases Research through an institutional training grant from the NIAMS, the UCSD Microbial Sciences Initiative Graduate Research Fellowship, the UCSD Graduate Training Program in Cellular and Molecular Pharmacology through an institutional training grant from the NIGMS.
Input: -
Output: -
Contact: Deepank Korandla dkorandl@alumni.cmu.edu
Collection: -
Maturity: Stable
Publications
- AssessORF: combining evolutionary conservation and proteomics to assess prokaryotic gene predictions.
- Korandla DR, et al. AssessORF: combining evolutionary conservation and proteomics to assess prokaryotic gene predictions. AssessORF: combining evolutionary conservation and proteomics to assess prokaryotic gene predictions. 2020; 36:1022-1029. doi: 10.1093/bioinformatics/btz714
- https://doi.org/10.1093/BIOINFORMATICS/BTZ714
- PMID: 31532487
- PMC: PMC7998711
Download and documentation
Source: http://www.bioconductor.org/packages/release/bioc/src/contrib/AssessORF_1.20.0.tar.gz
Documentation: http://www.bioconductor.org/packages/release/bioc/manuals/AssessORF/man/AssessORF.pdf
Home page: http://www.bioconductor.org/packages/release/bioc/html/AssessORF.html
Links: http://www.bioconductor.org/packages/release/bioc/vignettes/AssessORF/inst/doc/UsingAssessORF.pdf
Links: http://www.bioconductor.org/packages/release/bioc/vignettes/AssessORF/inst/doc/UsingAssessORF.R
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