Week 23, 2026 · Jun 1 – Jun 7

Top 40

ML / AI methods

Benchmarking segmentation and synthetic ground truth for 3D tissue and organoid imaging

Systems biology

Regional brain organization metrics test normative models, criticality, and morphometry

Tools & infrastructure

New tools speed variant annotation, GWAS, and epigenomic and cytometry analysis

ML / AI methods

Spatial models couple influenza dispersal, defective particles and interferon signalling

Genomics

Ancient and phased human genomes test selection and imputation inference methods

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

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

8 Interpretability Tools Recover Known Visual Selectivity in Neural ModelsML / AI methods

9 Generative models map mass spectra directly to candidate molecular structuresML / AI methods

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

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

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

13 Noise, feedback and network structure shape emergent states in biological modelsSystems biology

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

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

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

17 Learned multimodal and graph representations for protein and RNA predictionML / AI methods

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

19 Transformer and deep learning tools benchmarked against established genomics methodsGenomics

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

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21 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

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

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

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

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

26 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

27 Network models nominate interventions from omics and screening dataSystems biology

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

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

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

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

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

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

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

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

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

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

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

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

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