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Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model - Nature Methods 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…

#ERGAReads | Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model 🧬
www.nature.com/articles/s41...
#GenomeAnnotation #Helixer @natmethods.nature.com

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Genome Annotation / Genome annotation with Helixer / Hands-on: Genome annotation with Helixer 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...

💡 #KnowledgeHighlight | Genome annotation with Helixer - @galaxyproject.bsky.social tutorial
🔗 training.galaxyproject.org/training-mat...
Explore open-access training materials in the ERGA #KnowledgeHub ➡️ knowledge.erga-biodiversity.eu

#genome #annotation #helixer

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