Week 39, 2026 · Sep 21 – Sep 27

Top 40

Genomics

Comparative genomics partitions duplication, transfer and synteny across lineages

ML / AI methods

LLM agents automate bioinformatics workflows with verifiable, grounded outputs

ML / AI methods

Interpretability Tools Recover Known Visual Selectivity in Neural Models

ML / AI methods

Spatial models couple influenza dispersal, defective particles and interferon signalling

ML / AI methods

Fitted mechanistic models link single-cell and patient omics to regulatory dynamics

6 MD and cofolding models probe conformational states in kinases, Aβ, and HIV-1 EnvStructural bio & protein design

7 Shared embeddings fuse tissue images, spatial transcriptomes and molecular profilesML / AI methods

8 Graph and transformer models infer regulatory networks and disease-linked RNAsML / AI methods

9 Structure-aware language models detect resistance genes and map variant activityML / AI methods

10 Learned latents steer protein conformations and encode evolutionary structureML / AI methods

11 LLM agents and multimodal models convert literature and spectra into molecular knowledgeTools & infrastructure

12 MD simulations link conformational states to membrane binding and organizationStructural bio & protein design

13 Bifurcation structure and heterogeneity determine persistence beyond threshold indicesSystems biology

14 Internal ground truths benchmark RNA-seq transcript and expression inference toolsGenomics

15 Context-aware models refine variant calling, eQTL mapping and polygenic predictionGenomics

16 Generative models steered by RL, fragments, and SMARTS for molecule and linker designStructural bio & protein design

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

18 Models infer microbial and viral traits from large genomic and metagenomic datasetsGenomics

19 Graph and language-model encoders advance drug-target and synergy predictionStructural bio & protein design

20 Design-aware statistical models for differential analysis of omics and imaging dataSystems biology

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21 Isoform-resolved single-cell and single-molecule methods quantify transcript variantsEpigenomics

22 Biophysical models link ion channel, noise and modulation to network firing dynamicsSystems biology

23 Adhesion, noise, and discretization shape collective and single-cell migration modelsSystems biology

24 Network models nominate interventions from omics and screening dataSystems biology

25 Computational models link germinal center B cell states to antibody affinity maturationGenomics

26 Regional brain organization metrics test normative models, criticality, and morphometrySystems biology

27 MD ensembles and replica-exchange sampling map folding and binding pathwaysStructural bio & protein design

28 Simulation methods extend to cyclic peptides, non-canonical residues and polypeptoidsStructural bio & protein design

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

30 Simulations Link RNA Modifications to Conformation and Electronic StructureStructural bio & protein design

31 Benchmarks and tools expose technical biases in sequencing-based genomic assaysEpigenomics

32 Chromosome-level assemblies link genome gigantism and gene loss to lineage evolutionGenomics

33 Spatial and single-cell models infer multicellular motifs, regulators and disease linksSingle-cell

34 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

35 Pretrained generative models extend to fMRI forecasting, diagnosis, and imagerySystems biology

36 Sequencing and inference methods resolve nucleic acid sequence, structure, and usageGenomics

37 Correcting RNA degradation and hashtag demultiplexing in single-cell transcriptomicsSystems biology

38 Computational models link genetic variants to RNA binding and cell-type expressionTools & infrastructure

39 Integrating diverse variant and annotation data to improve genetic risk predictionGenomics

40 Reproducible tools for assessing and streamlining omics data analysis workflowsTools & infrastructure