Author

Felix Holst

Heinrich Heine University Düsseldorf

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alisandra K. DentoniD· 1 shared Andreas P.M. WeberiD· 1 shared Anthony Bolger· 1 shared Björn UsadeliD· 1 shared Christopher Günther· 1 shared Felicitas KindeliD· 1 shared Janina MaßiD· 1 shared Marie BolgeriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alisandra K. DentonORCID

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1 paper

Recent·Most cited

Helixer--de novo Prediction of Primary Eukaryotic Gene Models Combining Deep Learning and a Hidden Markov Model

Felix Holst, Anthony Bolger, Felicitas Kindel, Christopher Günther, Janina Maß, Sebastian ST Triesch, Niklas Kiel, Nima P. Saadat, Oliver Ebenhöh, Björn Usadel, Rainer Schwacke, Andreas P.M. Weber, Marie Bolger, Alisandra K. Denton

Helixer, a hybrid convolutional/bLSTM network with a hidden Markov model post-processor, predicts eukaryotic primary gene models from DNA alone, outscoring GenemarkES and AUGUSTUS on most species.

Nature Methods · Nov 24, 2025Peer-reviewedBioinformatics✦ In-depth digest