Top 40
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Genomics
Pangenome and haplotype-resolved methods reshape human genome variant analysis and phasing
Pangenome references and haplotype-aware tools now resolve common variation, population diversity, and tumor evolution from sequencing data.
ML / AI methods
Computational frameworks extract spatial structure from tissue and single-cell data
Recent preprints and papers pair spatial transcriptomics, proteomics, and microscopy with scalable models for spatial domains and cross-modal analysis.
ML / AI methods
Protein language models extend to PPIs, PTMs, LLPS, and nucleic acid structure
Sequence-only deep learning now spans PPI interfaces, PTM syntax, phase separation, and nucleic acid structure in recent work.
Tools & infrastructure
Open tools for omics data validation, lineage tracking, and domain-to-genome mapping
Recent preprints target validation, provenance, and throughput bottlenecks in omics data workflows.
Single-cell
Learned models of single-cell and spatial transcriptomes generalise unevenly across tasks
Harmonised benchmarks and new representation methods now test how transcriptomic models transfer across tissues, donors and modalities.