Week 43, 2026 · Oct 19 – Oct 25

Top 40

Genomics

Internal ground truths benchmark RNA-seq transcript and expression inference tools

ML / AI methods

Benchmarks for AI virtual cell models are being tested for scientific validity

ML / AI methods

Cross-cohort tests expose limits of EEG, vocal, and transcriptomic biomarkers

ML / AI methods

Explicit latent structure for single-cell perturbation response and multi-omic modeling

Genomics

Sequencing and inference methods resolve nucleic acid sequence, structure, and usage

6 Encoding spatial and relational structure in high-dimensional omics analysisSingle-cell

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

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

9 Fitted mechanistic models link single-cell and patient omics to regulatory dynamicsML / AI methods

10 Benchmarks and learned models expose gaps in metagenomic analysis softwareML / AI methods

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

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

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

14 Biological priors make multi-omics deep learning interpretableML / AI methods

15 Benchmarking segmentation and synthetic ground truth for 3D tissue and organoid imagingML / AI methods

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

17 Network models nominate interventions from omics and screening dataSystems biology

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

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

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

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21 Noise-driven dynamics shape neuronal firing, calcium states, and gait fluctuationsSystems biology

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

23 Bifurcation structure and heterogeneity determine persistence beyond threshold indicesSystems biology

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

25 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

26 Reproducible environments, DNA library design and standard formats for biology toolsStructural bio & protein design

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

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

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

30 Reduced recurrent models reproduce complex dynamics across neural and molecular systemsSystems biology

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

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

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

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

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

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

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

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

39 New tools speed variant annotation, GWAS, and epigenomic and cytometry analysisTools & infrastructure

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