Top 40
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Single-cell
Machine learning models encode biological structure across single-cell and spatial omics
Atlas-scale single-cell data now pair with causal, regulatory, and cross-modal structure in models that encode prior biology.
Tools & infrastructure
Reproducible tools and standards for managing and benchmarking sequence data
Reproducible pipelines and standards now address benchmarking, reference sequence exchange, and reprocessing of public sequencing data at scale.
Structural bio & protein design
New tools for macromolecular structure preparation, comparison, search and design
Recent Bioinformatics releases add scalable software for structure preparation, RNA reconstruction, and structure comparison and search.
ML / AI methods
DNA and protein language models gain evolutionary and biophysical priors
Recent preprints test injecting evolutionary, biophysical, and taxonomic structure into pretrained sequence models for prediction and deployment.
Single-cell
Biology-structured generative models predict single-cell perturbations and dynamics
Explicit latent structure, flow matching and Koopman dynamics now target perturbation response, trajectories and cross-species translation in scRNA-seq.