Week 15, 2026 · Apr 6 – Apr 12

Top 40

ML / AI methods

Benchmarks and learned models expose gaps in metagenomic analysis software

ML / AI methods

Deep learning automates microscopy and histology image analysis with less labelled data

Systems biology

Design-aware statistical models for differential analysis of omics and imaging data

Single-cell

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

ML / AI methods

Learned predictors score protein interactions, variant effects, and peptide activity

6 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

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

8 Explicit latent structure for single-cell perturbation response and multi-omic modelingML / AI methods

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

10 Refined inference of tumor methylation, structural variants and clonal structureSingle-cell

11 Chromatin structure and nucleosome states inferred from sequencing and contact mapsStructural bio & protein design

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

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

14 Physical and quantum-derived references inform learned models of molecular propertiesML / AI methods

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

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

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

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

19 Constraints and cross-feeding shape inferred metabolic fluxes and microbial nichesSystems biology

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

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

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

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

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

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

26 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

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

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

29 Graph storage and streaming parsers reshape population-scale variant computationTools & infrastructure

30 Mechanistic models link cell-scale rules to invasion, containment and therapy outcomesSystems biology

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

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

33 Benchmarks probe AlphaFold model accuracy across peptides, RNA, and antibody complexesStructural bio & protein design

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

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

36 Ancient and phased human genomes test selection and imputation inference methodsGenomics

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

38 Network models nominate interventions from omics and screening dataSystems biology

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

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