Author

Marcello Zala

ETH Zurich

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Biology Disciplines

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Genomics· 1

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Organism:Arabidopsis· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

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Daniel CrolliD· 1 shared Fanny E. HartmanniD· 1 shared Simone FouchéiD· 1 shared Thomas BadetiD· 1 shared

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2021-2021 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperGenomics

Daniel CrollORCID

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1 paper

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedJun 10, 2021

Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen

Thomas Badet, Simone Fouché, Fanny E. Hartmann…·Daniel Croll

The paper uses machine-learning to identify genomic features that predict structural variation in fungal and plant genomes, showing base composition and retrotransposons drive rearrangements.

35 citations

fungi (other)Arabidopsis

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