October 2026

Top 40

Systems biology

Graph neural networks model molecular interactions, drug synergy and disease drivers

Tools & infrastructure

Batch correction, imputation and splicing benchmarks advance single-cell omics analysis

Epigenomics

Computational models resolve context-specific RNA regulation and technical artifacts

Structural bio & protein design

Standardized benchmarks probe generalization of ML models in perturbation biology

ML / AI methods

Dynamical models separate measurement noise from growth and metabolic variability

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

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

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

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

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

11 Benchmarking computational omics methods against defined references and scenariosProteomics

12 Coarse-grained and deep-learning tools model protein flexibility and interfacesStructural bio & protein design

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

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

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

16 Protein and nucleic acid design tools benchmarked for fitness and specificityGenomics

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

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

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

20 GWAS associations are integrated into genomic and phenotype prediction frameworksMetabolomics

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

22 Structure-derived objectives guiding deep models for binder and compound prioritizationSystems biology

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

24 Models recover cell-state transitions from snapshot single-cell and spatial profilesSingle-cell

25 Protein language models applied to stability, cysteine states, and genome annotationTools & infrastructure

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

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

28 Biology-informed representations sharpen protein and molecular property predictionStructural bio & protein design

29 Heterogeneous-model and raw-read phylogenetics tools advance evolutionary inferenceML / AI methods

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

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

32 Protein language models predict immune recognition across TCR, pMHC and B-cell epitopesML / AI methods

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

34 Benchmarks and new callers refine variant, indel, and fusion detectionGenomics

35 Genome-scale and hybrid models reconstruct microbial metabolism and community dynamicsSystems biology

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

37 Statistical methods integrate chromatin and perturbation data at single-cell resolutionEpigenomics

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

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

40 Simulation and neural surrogates recover interpretable dynamics in biological systemsSystems biology