Week 11, 2026 · Mar 9 – Mar 15

Top 40

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Tools & infrastructure

New computational methods for single-cell, spatial, and bulk transcriptomic analysis

Genomics

Structural variants in parasite genomes shape drug response and population structure

Structural bio & protein design

MD-informed models map allosteric couplings in receptors and AAA+ ATPases

ML / AI methods

Transfer of learned structure across resolutions, domains, and biological priors

ML / AI methods

Sequence models extend regulatory and splicing prediction to personal genomes

6 Metapopulation models link mobility and surveillance sensitivity to infection dynamicsSystems biology

7 Inferring tissue and tumor states from spatial, single-cell, and metabolic dataMetabolomics

8 Transformer and graph models learn regulatory links from DNA, RNA and protein sequencesML / AI methods

9 Faster tools for protein dynamics: CEST fitting, flexibility, trajectory compressionTools & infrastructure

10 Scalable tools refine orthology and gene histories across diverse genome collectionsGenomics

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

12 Computational tools for omics differential expression and structural similarity searchStructural bio & protein design

13 ODE and power-law models dissect glycolytic oscillations and plant circadian networksSystems biology

14 Structure-aware statistical methods for single-cell and spatial transcriptomics inferenceML / AI methods

15 Inferring temporal cell-state dynamics from snapshot single-cell and spatial dataSingle-cell

16 Sequence Analysis Software Pipelines (auto label)Tools & infrastructure

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

18 Deep-learning tools automate quantification of cell and organelle morphology in imagingML / AI methods

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

20 Perturbation models and benchmarks reshaping therapeutic target nominationStructural bio & protein design

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

22 Reliable Biomedical Prediction Models (auto label)ML / AI methods

23 First-passage timing separable from steady-state output in stochastic regulatory modelsSystems biology

24 Benchmarks and diagnostics for inferring cell-level structure from single-cell…Tools & infrastructure

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

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

27 Open software tools are packaging spatial and whole-slide image analysis steps for reuseML / AI methods

28 Cancer Genome Functional Landscapes (auto label)Genomics

29 Computational readouts of calcium transients and FLIM lifetime artifacts in microscopySingle-cell

30 Genome-wide variation and coalescent theory jointly infer selection and demographyGenomics

31 Quantitative models probe tumor evolution, drug resistance and immune microenvironment…Systems biology

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

33 ML models infer tumor features from cfDNA fragmentomics and single-cell dataGenomics

34 Interfaced workflow platforms make sequencing and spatial omics analyses reproducibleTools & infrastructure

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

36 ML-Guided Proteomics Methods Resolve Site-Level Structural and PTM ChangesMetabolomics

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

38 ATP level and phosphorylation free energy set trigger-wave speed and nucleus sizeSystems biology

39 Conformational Ensemble Modeling (auto label)Structural bio & protein design

40 Analytical choices shape accuracy in MS-based strain, variant and quantity inferenceProteomics

Week 11, 2026 · Mar 9 – Mar 15

Top 40

New computational methods for single-cell, spatial, and bulk transcriptomic analysis

Structural variants in parasite genomes shape drug response and population structure

MD-informed models map allosteric couplings in receptors and AAA+ ATPases

Transfer of learned structure across resolutions, domains, and biological priors

Sequence models extend regulatory and splicing prediction to personal genomes

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