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StartLink+: Prediction of Gene Starts in Prokaryotic Genomes by an Algorithm Integrating Independent Sources of Evidence

Karl Gemayel, Alexandre Lomsadze, Mark Borodovsky
doi: https://doi.org/10.1101/2020.10.25.352625
Karl Gemayel
1School of Computational Science and Engineering, Georgia Tech, Atlanta, GA 30332, USA
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Alexandre Lomsadze
2Wallace H Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA 30332, USA
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Mark Borodovsky
1School of Computational Science and Engineering, Georgia Tech, Atlanta, GA 30332, USA
2Wallace H Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA 30332, USA
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  • For correspondence: borodovsky@gatech.edu
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  • https://github.gatech.edu/GeneMark/startlink

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Posted October 26, 2020.
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StartLink+: Prediction of Gene Starts in Prokaryotic Genomes by an Algorithm Integrating Independent Sources of Evidence
Karl Gemayel, Alexandre Lomsadze, Mark Borodovsky
bioRxiv 2020.10.25.352625; doi: https://doi.org/10.1101/2020.10.25.352625
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StartLink+: Prediction of Gene Starts in Prokaryotic Genomes by an Algorithm Integrating Independent Sources of Evidence
Karl Gemayel, Alexandre Lomsadze, Mark Borodovsky
bioRxiv 2020.10.25.352625; doi: https://doi.org/10.1101/2020.10.25.352625

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