Week 31, 2026 · Jul 27 – Aug 2

Top 40

Systems biology

Updated tools for microbial pangenomics, plasmid recovery and phylogenetic inference

Genomics

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

Tools & infrastructure

Benchmarks and packaged pipelines standardize omics analysis tools

ML / AI methods

LLM agents automate bioinformatics workflows with verifiable, grounded outputs

Tools & infrastructure

Graph storage and streaming parsers reshape population-scale variant computation

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

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

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

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

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

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

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

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

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

15 Recovering single-cell kinetics and trajectories from static and noisy measurementsML / AI methods

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

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

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

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

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

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

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

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

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

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

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

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

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

29 Transformer and deep learning tools benchmarked against established genomics methodsGenomics

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

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

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

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

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

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

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

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

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

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

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