Week 42, 2026 · Oct 12 – Oct 18

Top 40

Genomics

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

Systems biology

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

Single-cell

Encoding spatial and relational structure in high-dimensional omics analysis

Structural bio & protein design

Benchmarks probe AlphaFold model accuracy across peptides, RNA, and antibody complexes

Systems biology

Noise-driven dynamics shape neuronal firing, calcium states, and gait fluctuations

6 Sequence- and structure-based models predict protein function and dynamicsML / AI methods

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

8 Network models nominate interventions from omics and screening dataSystems biology

9 Cross-cohort tests expose limits of EEG, vocal, and transcriptomic biomarkersML / AI methods

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

11 Models link non-genetic B cell state dynamics to antibody affinity maturationSystems biology

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

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

14 Learned predictors score protein interactions, variant effects, and peptide activityML / AI methods

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

16 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

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

18 Graph and attention models fuse spatial and single-cell multi-omics dataML / AI methods

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

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

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

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

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

24 Machine learning maps tissue and molecular profiles to cancer outcomes and subtypesML / AI methods

25 Multi-omic and structural data are converted into drug and target prioritization outputsGenomics

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

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

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

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

30 Updated tools for microbial pangenomics, plasmid recovery and phylogenetic inferenceSystems biology

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

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

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

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

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

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

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

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

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

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