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D. Dominissini

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#machine learning Preprint Sep 2026

VANDAM: Viewing a nucleotide sequence with DNA molecular priors

Contemporary Genomic Foundation Models (GFMs) rely on a DNA-as-a-string paradigm that employs masked token prediction objectives for pretraining. However, this abstraction does not explicitly model the biochemical, structural, and physical properties essential to biological function. Many molecular properties can be es...

Jeremy Levy, Ariel Larey, Yury Nahshan et al. · 0 citations
Open access Sep 2026

DNT: Diploid Genomic Foundation Model

A reference-aligned diploid encoding for single-nucleotide variants (SNVs) and short insertions and deletions (indels) and unphased and phase-retaining tokenizers that accept phased genotypes and convert them to single-sequence diploid representation are introduced.

Guy Leib, T. Zinger, Dan Ofer et al. · 1 citation
Open access Jul 2026

ASXL3 truncating patient variants mediate transcriptional gain-of-function and are antisense oligonucleotide-responsive

ASXL3 patient truncations in neurodevelopmental condition Bainbridge-Ropers syndrome are shown to mediates gain-of-function (GOF) by escaping nonsense-mediated decay and Cullin 4-dependent degradation, resulting in aberrant protein accumulation, widespread transcriptional dysregulation, and altered chromatin accessibil...

Y. Nakamura, T. Nguyen, N. Mor et al. · 0 citations

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