Week 44, 2026 · Oct 26 – Nov 1 · so far

Top 40

Structural bio & protein design

Coarse-grained and deep-learning tools model protein flexibility and interfaces

Metabolomics

GWAS associations are integrated into genomic and phenotype prediction frameworks

Single-cell

New computational methods for single-cell, spatial, and imaging data analysis

Genomics

Protein and nucleic acid design tools benchmarked for fitness and specificity

Tools & infrastructure

Protein language models applied to stability, cysteine states, and genome annotation

6 Protein language models and generative models predict and design biomolecular propertiesML / AI methods

7 Learned representations recover structure in omics and pathology data across platformsML / AI methods

8 Computational models resolve context-specific RNA regulation and technical artifactsEpigenomics

9 Learned models recover structure lost to sparsity and modality gaps in transcriptomicsSingle-cell

10 Augmenting protein language models with structure, dynamics, and graph-based inputsML / AI methods

11 Statistical methods link non-coding variants, methylation, and gene-environment effectsStructural bio & protein design

12 Computational frameworks now score missense, splicing and promoter variant effectsGenomics

13 Open computational tools for reproducible omics and chromatin sequencing analysisML / AI methods

14 Learned models stratify disease risk from blood, imaging, and omics dataML / AI methods

15 Benchmark choices and inductive biases shape ML drug-response and design modelsTools & infrastructure

16 Benchmarks test ML models for single-cell perturbation and cancer predictionGenomics

17 Simulation and graph learning map conformational routes in proteins and complexesStructural bio & protein design

18 Structural variants, polygenic axes and mtDNA regulation across genomic scalesGenomics

19 Adaptive feedback and modularity in computational models of neural and metabolic systemsSystems biology

20 Standardized benchmarks probe generalization of ML models in perturbation biologyStructural bio & protein design

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21 Ensemble and free-energy methods now resolve RNA, protein and ligand binding physicsStructural bio & protein design

22 Graph-based models of cell-cell interactions and gene regulation in single-cell dataTools & infrastructure

23 Long-read pangenomes resolve mobile and repetitive variation in human genomesGenomics

24 Graph neural networks model molecular interactions, drug synergy and disease driversSystems biology

25 Chromosome-scale and haplotype-phased genome assemblies across fungi and plantsGenomics

26 Learned models link histology and spatial transcriptomics to predict expression and nichesTools & infrastructure

27 Benchmark baselines and transfer conditions reshape reported gains in biological MLML / AI methods

28 Generative models now design biomolecules under explicit multi-objective constraintsStructural bio & protein design

29 Benchmarks now test single-cell and sequencing analysis tools head-to-headStructural bio & protein design

30 Conformational ensembles guiding ligand and allosteric site selection for drug designStructural bio & protein design

31 Benchmarking computational omics methods against defined references and scenariosProteomics

32 Neural and graph models recover finer spatial gene expression and tissue domainsML / AI methods

33 Learned models predict variant effects, regulatory activity and peptide-TCR specificityML / AI methods

34 Interactive software tools for genomic, proteomic, and multi-omics data explorationSystems biology

35 Host-linked genomic structure across coral, plant, protist, and viral systemsGenomics

36 Statistical methods for omic data: mediation, network inference, and variable selectionGenomics

37 Computational frameworks couple perturbation screens to single-cell multimodal readoutsSingle-cell

38 Deep learning extends variant, regulatory and chromatin interaction predictionSystems biology

39 Computational tools for cell annotation, marker discovery and differential expressionTools & infrastructure

40 Spatial omics resolves niche communication, recruitment, and multiscale tissue topologyTranscriptomics