article Open AccessTop 1% cited
Prodigal: prokaryotic gene recognition and translation initiation site identification
BMC Bioinformatics · 2010 · Vol. 11(1) · pp. 119–119
Doug Hyatt✉(Oak Ridge National Laboratory)Gwo-Liang Chen(Oak Ridge National Laboratory)Philip LoCascio(Oak Ridge National Laboratory)Miriam Land(Oak Ridge National Laboratory)Frank W. Larimer(University of Tennessee at Knoxville)Loren Hauser(Joint Genome Institute)
Abstract
We built a fast, lightweight, open source gene prediction program called Prodigal http://compbio.ornl.gov/prodigal/. Prodigal achieved good results compared to existing methods, and we believe it will be a valuable asset to automated microbial annotation pipelines.
Genomics and Phylogenetic StudiesRNA and protein synthesis mechanismsMachine Learning in BioinformaticsGene predictionFalse positive paradoxGeneAnnotationIdentification (biology)GenomeComputer scienceGene AnnotationTranslation (biology)Computational biology
MeSH terms
AlgorithmsPeptide Chain Initiation, TranslationalProkaryotic CellsSoftwareGenome, BacterialDatabases, Genetic
Funding
- U.S. Department of Energy
- Battelle
- UT-Battelle
- Office of Science
- Biological and Environmental Research
- Oak Ridge National Laboratory
Citations
12,599
FWCI
72.76
field-weighted impact
References
19
Percentile
100%
vs. same field & year
Citations per year
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References
Basic local alignment search tool
Journal of Molecular Biology · 1990 · 93,570 citations
Identifying bacterial genes and endosymbiont DNA with Glimmer
Bioinformatics · 2007 · 3,177 citations
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