Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control…

By leveraging both deep learning and hidden Markov models, Helixer achieves broad taxonomic coverage for ab initio gene annotation of eukaryotic genomes from fungi, plants, vertebrates and…

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control r...

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By leveraging both deep learning and hidden Markov models, Helixer achieves broad taxonomic coverage for ab initio gene annotation of eukaryotic genomes from fungi, plants, vertebrates and invertebrat...

By leveraging both deep learning and hidden Markov models, Helixer achieves broad taxonomic coverage for ab initio gene annotation of eukaryotic genomes from fungi, plants, vertebrates and invertebrat...

Forscherinnen und Forscher der Heinrich-Heine-Universität Düsseldorf (HHU) und des Forschungszentrums Jülich (FZJ) haben unter Nutzung „Künstlicher Intelligenz“ (kurz KI) ein Werkzeug entwickelt, das die Genforschung spürbar verändern kann. Das KI-Tool „Helixer“ bestimmt Gene direkt aus DNA-Sequenzen – ohne Laborversuche oder Vorwissen über den untersuchten Organismus. Die Ergebnisse stellt das Forschungsteam in der Fachzeitschrift Nature Methods vor.