January 2026

Top 40

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Systems biology

Inhibitory integration, burst-driven weight attractors, and Φ in spiking networks

ML / AI methods

Deep models for single-cell perturbation, annotation, and foundation-model interpretation

Structural bio & protein design

AI structure models extended to protein conformational dynamics and ensemble sampling

ML / AI methods

Protein language models and LLMs predict mutation, editability and PAM specificity

Proteomics

Spatial statistics and dimension reduction resolve molecular patterns in omics data

6 Somatic variants joined to dependency and single-cell context for target nominationML / AI methods

7 Chromosome-scale and pangenome assemblies advance fungal and polyploid crop genomicsGenomics

8 Protonation and ion handling shape membrane transport and penetration in MD simulationsStructural bio & protein design

9 Protein language models encode nativeness, taxonomy, and memorization beyond trainingML / AI methods

10 Structure-aware statistical methods for single-cell and spatial transcriptomics inferenceML / AI methods

11 Software tools for batch correction, cfDNA fragment analysis and proteomics QCTools & infrastructure

12 Tissue-wide planar cell polarity emerges from local signals in cellular Potts modelsSystems biology

13 Transfer, kernel and penalized methods raise power in genetic association studiesGenomics

14 Curated databases structure microbial habitat, antigen, lysin and biosynthetic gene dataML / AI methods

15 Generative design of biomolecules and molecules paired with explicit feasibility scoringStructural bio & protein design

16 Alignment-free k-mer features resolve variant and class differences in genomic sequencesGenomics

17 Fusing sequence, structure and graph features for multimodal interaction predictionML / AI methods

18 Databases annotate TE-initiated transcripts in cancer and enhancer perturbationsML / AI methods

19 Graph representations of genetic variation scale across ARG, genotyping, and simulationTools & infrastructure

20 Repeats and chromatin context shape genome architecture and regulatory variationEpigenomics

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21 Browser and agent-driven tools standardize EV, transcriptomic and omics plotting workflowsTools & infrastructure

22 Automated curation and standardization of small-molecule data for predictive modelingTools & infrastructure

23 Sequence patterning governs peptide condensation and membrane translocationStructural bio & protein design

24 Curated databases pair bioactivity records with structural and mechanistic annotationTools & infrastructure

25 DFT reference data refines torsion parameters and hybrid ML/MM simulation setupStructural bio & protein design

26 Genome-scale constraint maps proto-gene precursors and duplicate-gene divergenceGenomics

27 Knowledgebases now map regulatory elements and GWAS variants onto genes and traitsGenomics

28 LLM agents grounded in raw single-cell data for annotation and perturbation predictionSingle-cell

29 Reference benchmarks and Bayesian models quantify variant call and effect reliabilityGenomics

30 Cryo-EM and cryo-ET density guides generative and regression models of atomic structureStructural bio & protein design

31 Immune atlases map inflammatory and cytotoxic cell states across disease and agingSingle-cell

32 New callers resolve CNVs, structural variants, uniparental disomy and aneuploidy from NGSGenomics

33 Expert curation anchors scalable annotation of biomedical literature and omics metadataTools & infrastructure

34 Knowledge graphs integrate metabolite, microbial, and trait data for queryable biologyTools & infrastructure

35 Single-cell and population variability is used to infer aging and neurogenic mechanismsSingle-cell

36 Deep learning automates particle picking, fusion, and event detection in microscopyStructural bio & protein design

37 Scalable tools refine orthology and gene histories across diverse genome collectionsGenomics

38 Physical polymer models connect 3D genome organization to regulatory outputEpigenomics

39 Spectral libraries and origin-aware annotation advance LC-MS metabolomicsMetabolomics

40 Rna Regulation Mapping Methods (auto label)Transcriptomics

January 2026

Top 40

Inhibitory integration, burst-driven weight attractors, and Φ in spiking networks

Deep models for single-cell perturbation, annotation, and foundation-model interpretation

AI structure models extended to protein conformational dynamics and ensemble sampling

Protein language models and LLMs predict mutation, editability and PAM specificity

Spatial statistics and dimension reduction resolve molecular patterns in omics data

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