Top 40
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Single-cell
Single-cell profiles are used to infer regulatory activity and cell-state programs
Single-cell and nuclear atlases, dynamical models and splicing-aware readouts now support inference of regulatory states across tissues and conditions.
Tools & infrastructure
Open-source software standardises omics and imaging analysis steps across data types
Installable modular packages now span preprocessing, metabolomics, proteomics and single-cell workflows, easing reproducible multimodal analysis.
Structural bio & protein design
Sequence-based models predict protein solubility, aggregation, and immunogenicity
Large experimental datasets and energy benchmarks now test sequence and structure models against measured folding, aggregation, and immunogenicity outcomes.
Single-cell
Dynamical models infer cell-state trajectories and gene regulation from single-cell data
Temporal models of aging and cell-state change are converging on single-cell and population-scale data.
ML / AI methods
Multimodal fusion of language-model and structure features for biomolecular prediction
Protein and language-model embeddings are increasingly fused with structural, graph, and spectral data for biomolecular prediction tasks.