Week 7, 2026 · Feb 9 – Feb 15

Top 40

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Genomics

Cancer Genome Functional Landscapes (auto label)

ML / AI methods

Graph neural networks fuse multimodal omics and network data for biological prediction

Tools & infrastructure

Interfaced workflow platforms make sequencing and spatial omics analyses reproducible

ML / AI methods

Learned Microbiome Models (auto label)

Structural bio & protein design

Predicted structures and ensembles used as optimization criteria in biomolecular design

6 Computational Nucleotide Sequence Design (auto label)Tools & infrastructure

7 Evolutionary Analysis Software Tools (auto label)Tools & infrastructure

8 Fusing sequence, structure and graph features for multimodal interaction predictionML / AI methods

9 Statistical and neural methods for grouped microbiome data analysisML / AI methods

10 Recovering cell-type expression from sparse, mixed, and noisy transcriptomic measurementsML / AI methods

11 Cryo-EM and cryo-ET density guides generative and regression models of atomic structureStructural bio & protein design

12 Protein language models encode nativeness, taxonomy, and memorization beyond trainingML / AI methods

13 Genomic language models are being interrogated for regulatory and biological structureGenomics

14 Benchmarking Frameworks For Omics Models (auto label)ML / AI methods

15 New callers resolve CNVs, structural variants, uniparental disomy and aneuploidy from NGSGenomics

16 Computational Genome Annotation Tools (auto label)Tools & infrastructure

17 Genome-scale constraint maps proto-gene precursors and duplicate-gene divergenceGenomics

18 Sparse autoencoders steer pretrained protein and genomic language model representationsML / AI methods

19 LLM agents grounded in raw single-cell data for annotation and perturbation predictionSingle-cell

20 Network Structured Transmission Modeling (auto label)Systems biology

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21 Deep learning automates particle picking, fusion, and event detection in microscopyStructural bio & protein design

22 Biological Dynamics Modeling Frameworks (auto label)Structural bio & protein design

23 Automated curation converts public omics and literature records into linkable resourcesTools & infrastructure

24 Neural and hybrid models infer population history from LD, ARGs, and mtDNA distancesGenomics

25 Generative design of biomolecules and molecules paired with explicit feasibility scoringStructural bio & protein design

26 DFT reference data refines torsion parameters and hybrid ML/MM simulation setupStructural bio & protein design

27 Circadian-gated slow-fast models infer time-dependent transitions in biological statesSystems biology

28 Curated knowledge bases convert literature into queryable biomedical evidenceTools & infrastructure

29 Local LLMs and modular frameworks standardize single-cell metadata, model use and…Single-cell

30 Modeling choices alter conclusions drawn from gene regulatory network analysesSystems biology

31 Sequence patterning governs peptide condensation and membrane translocationStructural bio & protein design

32 Electrostatic And Energetic Model Assessment (auto label)Structural bio & protein design

33 Reference-free transcriptome QC and indexed pangenome graph formats for sequence analysisTools & infrastructure

34 Computational metrics quantify resistance, foreign-genotype cells and CpG methylationEpigenomics

35 Probabilistic tools for phylogenetic ESS, species trees, alignment windows, and datingGenomics

36 Inhibitory integration, burst-driven weight attractors, and Φ in spiking networksSystems biology

37 Tissue-wide planar cell polarity emerges from local signals in cellular Potts modelsSystems biology

38 Constraint And Splicing Prioritization (auto label)Transcriptomics

39 Learned models encode fragment topology and bond-edit search for molecular structureMetabolomics

40 Spatial statistics and dimension reduction resolve molecular patterns in omics dataProteomics

Week 7, 2026 · Feb 9 – Feb 15

Top 40

Cancer Genome Functional Landscapes (auto label)

Graph neural networks fuse multimodal omics and network data for biological prediction

Interfaced workflow platforms make sequencing and spatial omics analyses reproducible

Learned Microbiome Models (auto label)

Predicted structures and ensembles used as optimization criteria in biomolecular design

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